Selection of groups on which to focus
selectgroups.RdSelection of groups (e.g. corresponding to different biological annotations) on which to focus, based on their sensitivity (BMD summary value) and their representativeness (number of items in each group).
Arguments
- extendedres
the dataframe of results provided by drcfit (fitres) or bmdcalc (res) or a subset of this data frame (selected lines). This dataframe should be extended with additional columns coming for the group (for example from the biological annotation of items) and optionnally for another experimental level (for example the molecular level), and some lines can be replicated if their corresponding item has more than one annotation.
- group
the name of the column of
extendedrescoding for the groups.- explev
optional argument naming the column of
extendedrescoding for the experimental level.- BMDmax
maximum for the BMD summary value used to limit the groups to the most sensitive (optional input : if missing there is no selection based on the BMD).
- BMDtype
the type of BMD used for the selection on the BMD,
"zSD"(default choice) or"xfold".- BMDsummary
the type of summary used for the selection based on the BMD,
"first.quartile"(default choice of the first quartile of BMD values per group) or"median"(for choice of median of BMD values per group).- nitemsmin
minimum for the number of items per group to limit the groups to the most represented (can be put at 1 if you do not want to select on this number: not recommended.
- keepallexplev
If TRUE (default value at FALSE), if a group is selected for at least one experimental level, it will be kept in the selection at all the experimental levels.
Details
This function will provide a subset of the input extendedres corresponding
to groups for which the number of items representing the group is greater
than or equal to
nitemsmin and if BMDmax is secified,
for which the BMD summary value is less than or equal to BMDmax.
When there is more than one experimental level (explev specified),
the selection of groups
is made separately at each experimental level: so a group may be selected
at one experimental level and removed at another one.
This function eliminates rows with NA values for the chosen BMD
(of BMDtype) before performing the the selection.
Value
a dataframe corresponding to a subset of extendedres given in input, that
can be used for further exploration using for example bmdplot,
bmdplotwithgradient,
trendplot and sensitivityplot.
See also
See bmdfilter, bmdplot, bmdplotwithgradient,
trendplot and sensitivityplot.
Examples
# (1)
# An example from the paper published by Larras et al. 2020
# in Journal of Hazardous Materials
# https://doi.org/10.1016/j.jhazmat.2020.122727
# the dataframe with metabolomic results
resfilename <- system.file("extdata", "triclosanSVmetabres.txt", package="DRomics")
res <- read.table(resfilename, header = TRUE, stringsAsFactors = TRUE)
str(res)
#> 'data.frame': 31 obs. of 27 variables:
#> $ id : Factor w/ 31 levels "NAP47_51","NAP_2",..: 2 3 4 5 6 7 8 9 10 11 ...
#> $ irow : int 2 21 28 34 38 47 49 51 53 67 ...
#> $ adjpvalue : num 6.23e-05 1.11e-05 1.03e-05 1.89e-03 4.16e-03 ...
#> $ model : Factor w/ 4 levels "Gauss-probit",..: 2 3 3 2 2 4 2 2 3 3 ...
#> $ nbpar : int 3 2 2 3 3 5 3 3 2 2 ...
#> $ b : num 0.4598 -0.0595 -0.0451 0.6011 0.6721 ...
#> $ c : num NA NA NA NA NA ...
#> $ d : num 5.94 5.39 7.86 6.86 6.21 ...
#> $ e : num -1.648 NA NA -0.321 -0.323 ...
#> $ f : num NA NA NA NA NA ...
#> $ SDres : num 0.126 0.0793 0.052 0.2338 0.2897 ...
#> $ typology : Factor w/ 10 levels "E.dec.concave",..: 2 7 7 2 2 9 2 2 7 7 ...
#> $ trend : Factor w/ 4 levels "U","bell","dec",..: 3 3 3 3 3 1 3 3 3 3 ...
#> $ y0 : num 5.94 5.39 7.86 6.86 6.21 ...
#> $ yrange : num 0.456 0.461 0.35 0.601 0.672 ...
#> $ maxychange : num 0.456 0.461 0.35 0.601 0.672 ...
#> $ xextrem : num NA NA NA NA NA ...
#> $ yextrem : num NA NA NA NA NA ...
#> $ BMD.zSD : num 0.528 1.333 1.154 0.158 0.182 ...
#> $ BMR.zSD : num 5.82 5.31 7.81 6.62 5.92 ...
#> $ BMD.xfold : num NA NA NA NA 0.832 ...
#> $ BMR.xfold : num 5.35 4.85 7.07 6.17 5.59 ...
#> $ BMD.zSD.lower : num 0.2001 0.8534 0.7519 0.0554 0.081 ...
#> $ BMD.zSD.upper : num 1.11 1.746 1.465 0.68 0.794 ...
#> $ BMD.xfold.lower : num Inf 7.611 Inf 0.561 0.329 ...
#> $ BMD.xfold.upper : num Inf Inf Inf Inf Inf ...
#> $ nboot.successful: int 957 1000 1000 648 620 872 909 565 1000 1000 ...
# the dataframe with annotation of each item identified in the previous file
# each item may have more than one annotation (-> more than one line)
annotfilename <- system.file("extdata", "triclosanSVmetabannot.txt", package="DRomics")
annot <- read.table(annotfilename, header = TRUE, stringsAsFactors = TRUE)
str(annot)
#> 'data.frame': 84 obs. of 2 variables:
#> $ metab.code: Factor w/ 31 levels "NAP47_51","NAP_2",..: 2 3 4 4 4 4 5 6 7 8 ...
#> $ path_class: Factor w/ 9 levels "Amino acid metabolism",..: 5 3 3 2 6 8 5 5 5 5 ...
# Merging of both previous dataframes
# in order to obtain an extenderes dataframe
extendedres <- merge(x = res, y = annot, by.x = "id", by.y = "metab.code")
head(extendedres)
#> id irow adjpvalue model nbpar b c d
#> 1 NAP47_51 46 7.158246e-04 linear 2 -0.05600559 NA 7.343571
#> 2 NAP_2 2 6.232579e-05 exponential 3 0.45981242 NA 5.941896
#> 3 NAP_23 21 1.106958e-05 linear 2 -0.05946618 NA 5.387252
#> 4 NAP_30 28 1.028343e-05 linear 2 -0.04507832 NA 7.859109
#> 5 NAP_30 28 1.028343e-05 linear 2 -0.04507832 NA 7.859109
#> 6 NAP_30 28 1.028343e-05 linear 2 -0.04507832 NA 7.859109
#> e f SDres typology trend y0 yrange maxychange
#> 1 NA NA 0.12454183 L.dec dec 7.343571 0.4346034 0.4346034
#> 2 -1.647958 NA 0.12604568 E.dec.convex dec 5.941896 0.4556672 0.4556672
#> 3 NA NA 0.07929266 L.dec dec 5.387252 0.4614576 0.4614576
#> 4 NA NA 0.05203245 L.dec dec 7.859109 0.3498078 0.3498078
#> 5 NA NA 0.05203245 L.dec dec 7.859109 0.3498078 0.3498078
#> 6 NA NA 0.05203245 L.dec dec 7.859109 0.3498078 0.3498078
#> xextrem yextrem BMD.zSD BMR.zSD BMD.xfold BMR.xfold BMD.zSD.lower
#> 1 NA NA 2.2237393 7.219029 NA 6.609214 0.9785095
#> 2 NA NA 0.5279668 5.815850 NA 5.347706 0.2000881
#> 3 NA NA 1.3334076 5.307960 NA 4.848527 0.8533711
#> 4 NA NA 1.1542677 7.807077 NA 7.073198 0.7518588
#> 5 NA NA 1.1542677 7.807077 NA 7.073198 0.7518588
#> 6 NA NA 1.1542677 7.807077 NA 7.073198 0.7518588
#> BMD.zSD.upper BMD.xfold.lower BMD.xfold.upper nboot.successful
#> 1 4.068699 Inf Inf 1000
#> 2 1.109559 Inf Inf 957
#> 3 1.746010 7.610936 Inf 1000
#> 4 1.464998 Inf Inf 1000
#> 5 1.464998 Inf Inf 1000
#> 6 1.464998 Inf Inf 1000
#> path_class
#> 1 Lipid metabolism
#> 2 Lipid metabolism
#> 3 Carbohydrate metabolism
#> 4 Carbohydrate metabolism
#> 5 Biosynthesis of other secondary metabolites
#> 6 Membrane transport
# (1) Sensitivity by pathway
# (1.a) before selection
sensitivityplot(extendedres, BMDtype = "zSD",
group = "path_class",
BMDsummary = "first.quartile")
# (1.b) after selection on representativeness
extendedres.b <- selectgroups(extendedres,
group = "path_class",
nitemsmin = 10)
sensitivityplot(extendedres.b, BMDtype = "zSD",
group = "path_class",
BMDsummary = "first.quartile")
# \donttest{
# (1.c) after selection on sensitivity
extendedres.c <- selectgroups(extendedres,
group = "path_class",
BMDmax = 1.25,
BMDtype = "zSD",
BMDsummary = "first.quartile",
nitemsmin = 1)
sensitivityplot(extendedres.c, BMDtype = "zSD",
group = "path_class",
BMDsummary = "first.quartile")
# (1.d) after selection on representativeness and sensitivity
extendedres.d <- selectgroups(extendedres,
group = "path_class",
BMDmax = 1.25,
BMDtype = "zSD",
BMDsummary = "first.quartile",
nitemsmin = 10)
sensitivityplot(extendedres.d, BMDtype = "zSD",
group = "path_class",
BMDsummary = "first.quartile")
# (2)
# An example with two molecular levels
#
### Rename metabolomic results
metabextendedres <- extendedres
# Import the dataframe with transcriptomic results
contigresfilename <- system.file("extdata", "triclosanSVcontigres.txt", package = "DRomics")
contigres <- read.table(contigresfilename, header = TRUE, stringsAsFactors = TRUE)
str(contigres)
#> 'data.frame': 447 obs. of 27 variables:
#> $ id : Factor w/ 447 levels "c00134","c00276",..: 1 2 3 4 5 6 7 8 9 10 ...
#> $ irow : int 2802 39331 41217 52577 52590 53968 54508 57776 58705 60306 ...
#> $ adjpvalue : num 2.76e-04 9.40e-07 2.89e-06 1.88e-03 1.83e-03 ...
#> $ model : Factor w/ 4 levels "Gauss-probit",..: 3 2 2 2 2 2 3 2 1 3 ...
#> $ nbpar : int 2 3 3 3 3 3 2 3 4 2 ...
#> $ b : num -0.21794 1.49944 1.40817 0.00181 1.48605 ...
#> $ c : num NA NA NA NA NA ...
#> $ d : num 10.9 12.4 12.4 16.4 15.3 ...
#> $ e : num NA -2.2 -2.41 1.15 -2.31 ...
#> $ f : num NA NA NA NA NA ...
#> $ SDres : num 0.417 0.287 0.281 0.145 0.523 ...
#> $ typology : Factor w/ 10 levels "E.dec.concave",..: 7 2 2 4 2 2 7 1 5 8 ...
#> $ trend : Factor w/ 4 levels "U","bell","dec",..: 3 3 3 4 3 3 3 3 1 4 ...
#> $ y0 : num 10.9 12.4 12.4 16.4 15.3 ...
#> $ yrange : num 1.445 1.426 1.319 0.567 1.402 ...
#> $ maxychange : num 1.445 1.426 1.319 0.567 1.402 ...
#> $ xextrem : num NA NA NA NA NA ...
#> $ yextrem : num NA NA NA NA NA ...
#> $ BMD.zSD : num 1.913 0.467 0.536 5.073 1.004 ...
#> $ BMR.zSD : num 10.4 12.1 12.1 16.6 14.8 ...
#> $ BMD.xfold : num 4.98 3.88 5.13 NA NA ...
#> $ BMR.xfold : num 9.77 11.19 11.17 18.05 13.8 ...
#> $ BMD.zSD.lower : num 1.255 0.243 0.282 2.65 0.388 ...
#> $ BMD.zSD.upper : num 2.759 0.825 0.925 5.573 2.355 ...
#> $ BMD.xfold.lower : num 3.94 2.32 2.79 Inf 3.06 ...
#> $ BMD.xfold.upper : num Inf Inf Inf Inf Inf ...
#> $ nboot.successful: int 500 497 495 332 466 469 500 321 260 500 ...
# Import the dataframe with functional annotation (or any other descriptor/category
# you want to use, here KEGG pathway classes)
contigannotfilename <- system.file("extdata", "triclosanSVcontigannot.txt", package = "DRomics")
contigannot <- read.table(contigannotfilename, header = TRUE, stringsAsFactors = TRUE)
str(contigannot)
#> 'data.frame': 562 obs. of 2 variables:
#> $ contig : Factor w/ 447 levels "c00134","c00276",..: 1 2 3 4 5 6 7 8 9 10 ...
#> $ path_class: Factor w/ 17 levels "Amino acid metabolism",..: 3 11 11 15 8 4 3 4 8 2 ...
# Merging of both previous dataframes
contigextendedres <- merge(x = contigres, y = contigannot, by.x = "id", by.y = "contig")
# to see the structure of this dataframe
str(contigextendedres)
#> 'data.frame': 562 obs. of 28 variables:
#> $ id : Factor w/ 447 levels "c00134","c00276",..: 1 2 3 4 5 6 7 8 9 10 ...
#> $ irow : int 2802 39331 41217 52577 52590 53968 54508 57776 58705 60306 ...
#> $ adjpvalue : num 2.76e-04 9.40e-07 2.89e-06 1.88e-03 1.83e-03 ...
#> $ model : Factor w/ 4 levels "Gauss-probit",..: 3 2 2 2 2 2 3 2 1 3 ...
#> $ nbpar : int 2 3 3 3 3 3 2 3 4 2 ...
#> $ b : num -0.21794 1.49944 1.40817 0.00181 1.48605 ...
#> $ c : num NA NA NA NA NA ...
#> $ d : num 10.9 12.4 12.4 16.4 15.3 ...
#> $ e : num NA -2.2 -2.41 1.15 -2.31 ...
#> $ f : num NA NA NA NA NA ...
#> $ SDres : num 0.417 0.287 0.281 0.145 0.523 ...
#> $ typology : Factor w/ 10 levels "E.dec.concave",..: 7 2 2 4 2 2 7 1 5 8 ...
#> $ trend : Factor w/ 4 levels "U","bell","dec",..: 3 3 3 4 3 3 3 3 1 4 ...
#> $ y0 : num 10.9 12.4 12.4 16.4 15.3 ...
#> $ yrange : num 1.445 1.426 1.319 0.567 1.402 ...
#> $ maxychange : num 1.445 1.426 1.319 0.567 1.402 ...
#> $ xextrem : num NA NA NA NA NA ...
#> $ yextrem : num NA NA NA NA NA ...
#> $ BMD.zSD : num 1.913 0.467 0.536 5.073 1.004 ...
#> $ BMR.zSD : num 10.4 12.1 12.1 16.6 14.8 ...
#> $ BMD.xfold : num 4.98 3.88 5.13 NA NA ...
#> $ BMR.xfold : num 9.77 11.19 11.17 18.05 13.8 ...
#> $ BMD.zSD.lower : num 1.255 0.243 0.282 2.65 0.388 ...
#> $ BMD.zSD.upper : num 2.759 0.825 0.925 5.573 2.355 ...
#> $ BMD.xfold.lower : num 3.94 2.32 2.79 Inf 3.06 ...
#> $ BMD.xfold.upper : num Inf Inf Inf Inf Inf ...
#> $ nboot.successful: int 500 497 495 332 466 469 500 321 260 500 ...
#> $ path_class : Factor w/ 17 levels "Amino acid metabolism",..: 3 11 11 15 8 4 3 4 8 2 ...
### Merge metabolomic and transcriptomic results
extendedres <- rbind(metabextendedres, contigextendedres)
extendedres$molecular.level <- factor(c(rep("metabolites", nrow(metabextendedres)),
rep("contigs", nrow(contigextendedres))))
str(extendedres)
#> 'data.frame': 646 obs. of 29 variables:
#> $ id : Factor w/ 478 levels "NAP47_51","NAP_2",..: 1 2 3 4 4 4 4 5 6 7 ...
#> $ irow : int 46 2 21 28 28 28 28 34 38 47 ...
#> $ adjpvalue : num 7.16e-04 6.23e-05 1.11e-05 1.03e-05 1.03e-05 ...
#> $ model : Factor w/ 4 levels "Gauss-probit",..: 3 2 3 3 3 3 3 2 2 4 ...
#> $ nbpar : int 2 3 2 2 2 2 2 3 3 5 ...
#> $ b : num -0.056 0.4598 -0.0595 -0.0451 -0.0451 ...
#> $ c : num NA NA NA NA NA ...
#> $ d : num 7.34 5.94 5.39 7.86 7.86 ...
#> $ e : num NA -1.65 NA NA NA ...
#> $ f : num NA NA NA NA NA ...
#> $ SDres : num 0.1245 0.126 0.0793 0.052 0.052 ...
#> $ typology : Factor w/ 10 levels "E.dec.concave",..: 7 2 7 7 7 7 7 2 2 9 ...
#> $ trend : Factor w/ 4 levels "U","bell","dec",..: 3 3 3 3 3 3 3 3 3 1 ...
#> $ y0 : num 7.34 5.94 5.39 7.86 7.86 ...
#> $ yrange : num 0.435 0.456 0.461 0.35 0.35 ...
#> $ maxychange : num 0.435 0.456 0.461 0.35 0.35 ...
#> $ xextrem : num NA NA NA NA NA ...
#> $ yextrem : num NA NA NA NA NA ...
#> $ BMD.zSD : num 2.224 0.528 1.333 1.154 1.154 ...
#> $ BMR.zSD : num 7.22 5.82 5.31 7.81 7.81 ...
#> $ BMD.xfold : num NA NA NA NA NA ...
#> $ BMR.xfold : num 6.61 5.35 4.85 7.07 7.07 ...
#> $ BMD.zSD.lower : num 0.979 0.2 0.853 0.752 0.752 ...
#> $ BMD.zSD.upper : num 4.07 1.11 1.75 1.46 1.46 ...
#> $ BMD.xfold.lower : num Inf Inf 7.61 Inf Inf ...
#> $ BMD.xfold.upper : num Inf Inf Inf Inf Inf ...
#> $ nboot.successful: int 1000 957 1000 1000 1000 1000 1000 648 620 872 ...
#> $ path_class : Factor w/ 18 levels "Amino acid metabolism",..: 5 5 3 3 2 6 8 5 5 5 ...
#> $ molecular.level : Factor w/ 2 levels "contigs","metabolites": 2 2 2 2 2 2 2 2 2 2 ...
# optional inverse alphabetic ordering of groups for the plot
extendedres$path_class <- factor(extendedres$path_class,
levels = sort(levels(extendedres$path_class), decreasing = TRUE))
### (2.1) sensitivity plot of both molecular levels before and after selection of
# most sensitive groups
sensitivityplot(extendedres, BMDtype = "zSD",
group = "path_class", colorby = "molecular.level",
BMDsummary = "first.quartile")
extendedres.2 <- selectgroups(extendedres,
group = "path_class",
explev = "molecular.level",
BMDmax = 1,
BMDtype = "zSD",
BMDsummary = "first.quartile",
nitemsmin = 1)
sensitivityplot(extendedres.2, BMDtype = "zSD",
group = "path_class", , colorby = "molecular.level",
BMDsummary = "first.quartile")
### (2.2) same selection but keeping all the experimental as soon
# as the selection criterion is met for at least one experimental level
extendedres.3 <- selectgroups(extendedres,
group = "path_class",
explev = "molecular.level",
BMDmax = 1,
BMDtype = "zSD",
BMDsummary = "first.quartile",
nitemsmin = 1,
keepallexplev = TRUE)
extendedres.2
#> id irow adjpvalue model nbpar b c
#> 1 NAP47_51 46 7.158246e-04 linear 2 -0.0560055901 NA
#> 2 NAP_2 2 6.232579e-05 exponential 3 0.4598124176 NA
#> 5 NAP_30 28 1.028343e-05 linear 2 -0.0450783225 NA
#> 6 NAP_30 28 1.028343e-05 linear 2 -0.0450783225 NA
#> 7 NAP_30 28 1.028343e-05 linear 2 -0.0450783225 NA
#> 8 NAP_38 34 1.885047e-03 exponential 3 0.6010677009 NA
#> 9 NAP_42 38 4.160193e-03 exponential 3 0.6721022679 NA
#> 10 NAP_52 47 3.920169e-02 log-Gauss-probit 5 0.4500858981 7.202003
#> 11 NAP_54 49 3.767103e-04 exponential 3 0.4520654041 NA
#> 12 NAP_56 51 1.489919e-03 exponential 3 0.4392508278 NA
#> 13 NAP_58 53 2.834198e-02 linear 2 -0.0193812708 NA
#> 14 NAP_73 67 3.767103e-04 linear 2 -0.0578784221 NA
#> 16 NP_121 197 9.889460e-03 linear 2 0.0614947494 NA
#> 17 NP_121 197 9.889460e-03 linear 2 0.0614947494 NA
#> 18 NP_129 204 7.286216e-03 exponential 3 0.0077860286 NA
#> 19 NP_129 204 7.286216e-03 exponential 3 0.0077860286 NA
#> 20 NP_129 204 7.286216e-03 exponential 3 0.0077860286 NA
#> 22 NP_140 214 8.550044e-03 Gauss-probit 4 0.6955280524 4.835774
#> 23 NP_140 214 8.550044e-03 Gauss-probit 4 0.6955280524 4.835774
#> 25 NP_147 221 1.061967e-03 exponential 3 -0.0319538831 NA
#> 26 NP_33 113 5.599308e-02 log-Gauss-probit 4 0.6150169995 4.917345
#> 27 NP_33 113 5.599308e-02 log-Gauss-probit 4 0.6150169995 4.917345
#> 28 NP_33 113 5.599308e-02 log-Gauss-probit 4 0.6150169995 4.917345
#> 29 NP_33 113 5.599308e-02 log-Gauss-probit 4 0.6150169995 4.917345
#> 30 NP_33 113 5.599308e-02 log-Gauss-probit 4 0.6150169995 4.917345
#> 31 NP_35 115 3.238559e-03 Gauss-probit 4 1.5075787740 5.975143
#> 32 NP_35 115 3.238559e-03 Gauss-probit 4 1.5075787740 5.975143
#> 33 NP_35 115 3.238559e-03 Gauss-probit 4 1.5075787740 5.975143
#> 34 NP_35 115 3.238559e-03 Gauss-probit 4 1.5075787740 5.975143
#> 35 NP_43 123 1.055895e-02 exponential 3 -0.3967359528 NA
#> 36 NP_43 123 1.055895e-02 exponential 3 -0.3967359528 NA
#> 37 NP_43 123 1.055895e-02 exponential 3 -0.3967359528 NA
#> 39 NP_43 123 1.055895e-02 exponential 3 -0.3967359528 NA
#> 40 NP_43 123 1.055895e-02 exponential 3 -0.3967359528 NA
#> 41 NP_43 123 1.055895e-02 exponential 3 -0.3967359528 NA
#> 42 NP_43 123 1.055895e-02 exponential 3 -0.3967359528 NA
#> 43 NP_43 123 1.055895e-02 exponential 3 -0.3967359528 NA
#> 44 NP_55 135 1.119380e-06 Gauss-probit 4 2.3252734893 4.469882
#> 46 NP_56 136 5.289310e-03 exponential 3 -0.0043605275 NA
#> 47 NP_56 136 5.289310e-03 exponential 3 -0.0043605275 NA
#> 48 NP_59 139 1.293440e-02 exponential 3 -0.3667815344 NA
#> 49 NP_59 139 1.293440e-02 exponential 3 -0.3667815344 NA
#> 50 NP_59 139 1.293440e-02 exponential 3 -0.3667815344 NA
#> 51 NP_59 139 1.293440e-02 exponential 3 -0.3667815344 NA
#> 52 NP_60 140 6.939560e-03 exponential 3 -0.5150005401 NA
#> 53 NP_60 140 6.939560e-03 exponential 3 -0.5150005401 NA
#> 54 NP_60 140 6.939560e-03 exponential 3 -0.5150005401 NA
#> 55 NP_60 140 6.939560e-03 exponential 3 -0.5150005401 NA
#> 56 NP_60 140 6.939560e-03 exponential 3 -0.5150005401 NA
#> 57 NP_60 140 6.939560e-03 exponential 3 -0.5150005401 NA
#> 58 NP_68 147 3.449660e-04 Gauss-probit 4 2.4449502970 5.055577
#> 59 NP_69 148 1.156302e-03 linear 2 -0.0507632397 NA
#> 60 NP_69 148 1.156302e-03 linear 2 -0.0507632397 NA
#> 61 NP_74 153 7.029527e-02 log-Gauss-probit 5 0.2715410382 4.847403
#> 62 NP_74 153 7.029527e-02 log-Gauss-probit 5 0.2715410382 4.847403
#> 63 NP_74 153 7.029527e-02 log-Gauss-probit 5 0.2715410382 4.847403
#> 64 NP_74 153 7.029527e-02 log-Gauss-probit 5 0.2715410382 4.847403
#> 65 NP_74 153 7.029527e-02 log-Gauss-probit 5 0.2715410382 4.847403
#> 67 NP_90 168 3.072572e-02 exponential 3 -0.2686241513 NA
#> 68 NP_90 168 3.072572e-02 exponential 3 -0.2686241513 NA
#> 69 NP_90 168 3.072572e-02 exponential 3 -0.2686241513 NA
#> 70 NP_90 168 3.072572e-02 exponential 3 -0.2686241513 NA
#> 71 NP_92 170 2.278810e-03 exponential 3 -0.0045956887 NA
#> 72 NP_92 170 2.278810e-03 exponential 3 -0.0045956887 NA
#> 73 NP_92 170 2.278810e-03 exponential 3 -0.0045956887 NA
#> 75 NP_94 172 1.798752e-05 Gauss-probit 4 3.0165756601 4.862842
#> 76 NP_94 172 1.798752e-05 Gauss-probit 4 3.0165756601 4.862842
#> 77 NP_94 172 1.798752e-05 Gauss-probit 4 3.0165756601 4.862842
#> 79 NP_96 174 5.128859e-04 Gauss-probit 4 2.4099064659 5.216540
#> 80 NP_96 174 5.128859e-04 Gauss-probit 4 2.4099064659 5.216540
#> 81 NP_98 176 1.544866e-04 Gauss-probit 4 1.8803246284 5.908317
#> 82 NP_98 176 1.544866e-04 Gauss-probit 4 1.8803246284 5.908317
#> 83 NP_98 176 1.544866e-04 Gauss-probit 4 1.8803246284 5.908317
#> 84 NP_98 176 1.544866e-04 Gauss-probit 4 1.8803246284 5.908317
#> 86 c00276 39331 9.401685e-07 exponential 3 1.4994358863 NA
#> 87 c00281 41217 2.894669e-06 exponential 3 1.4081722202 NA
#> 103 c00973 8280 6.803372e-03 exponential 3 -0.7727846601 NA
#> 116 c01318 18587 9.761656e-03 exponential 3 -0.0254133606 NA
#> 121 c01442 22830 8.398538e-07 exponential 3 -0.4594973812 NA
#> 123 c01449 23118 3.283441e-05 Gauss-probit 4 4.4613014130 3.681397
#> 125 c01613 28185 5.354723e-03 linear 2 0.0799120939 NA
#> 131 c01645 29447 4.923790e-08 Gauss-probit 4 2.7016585216 3.159101
#> 134 c01924 38335 2.843216e-04 Gauss-probit 4 2.4465374667 11.894336
#> 150 c02837 53881 7.971049e-04 linear 2 0.1575210301 NA
#> 157 c02964 54187 3.684145e-04 exponential 3 -1.6864714649 NA
#> 161 c03088 54664 3.084821e-03 Gauss-probit 4 2.1488658006 11.596818
#> 169 c03232 55298 2.548714e-06 linear 2 0.2143540812 NA
#> 172 c03284 55434 1.365366e-03 linear 2 -0.3672796068 NA
#> 178 c03358 55610 1.361311e-03 Gauss-probit 4 2.7322361908 10.205586
#> 180 c03440 55810 2.679169e-03 linear 2 -0.1138782478 NA
#> 181 c03440 55810 2.679169e-03 linear 2 -0.1138782478 NA
#> 183 c03526 56019 2.223268e-04 exponential 3 -1.2492729382 NA
#> 184 c03540 56053 3.430925e-03 linear 2 0.1965028128 NA
#> 186 c03544 56063 6.386500e-03 exponential 3 -0.0014175944 NA
#> 188 c03571 56127 9.413418e-03 log-Gauss-probit 4 0.5983299493 4.168006
#> 193 c03661 56344 7.587641e-03 log-Gauss-probit 4 0.6923539914 3.041593
#> 196 c03724 56499 4.297972e-05 log-Gauss-probit 4 0.5840913112 12.278610
#> 198 c03760 56585 9.777594e-03 linear 2 -0.1351427617 NA
#> 202 c03784 56645 5.006652e-03 log-Gauss-probit 4 0.6898227977 9.654095
#> 228 c04342 58826 1.308910e-04 Gauss-probit 4 7.1974259415 7.723356
#> 233 c04434 59217 7.874407e-03 Gauss-probit 5 3.9082976255 2.896934
#> 235 c04513 59551 9.612303e-03 log-Gauss-probit 4 0.7506662658 11.849601
#> 238 c04553 59682 2.052935e-04 exponential 3 -0.0065668916 NA
#> 243 c04613 59817 2.581335e-03 Gauss-probit 4 3.0320225840 11.908364
#> 245 c04619 59830 8.483282e-03 exponential 3 0.0232807480 NA
#> 246 c04619 59830 8.483282e-03 exponential 3 0.0232807480 NA
#> 252 c04647 59892 1.704160e-03 linear 2 0.0934490851 NA
#> 253 c04655 59910 4.758216e-05 log-Gauss-probit 4 0.7297683681 11.552853
#> 256 c04683 59973 5.823021e-04 exponential 3 0.8026136129 NA
#> 266 c04883 60416 7.479393e-03 exponential 3 1.7011616772 NA
#> 275 c05081 60856 1.998628e-04 exponential 3 0.0440643594 NA
#> 276 c05100 60898 4.685588e-05 exponential 3 1.6262517332 NA
#> 291 c05326 247 4.812259e-03 linear 2 -0.1628213963 NA
#> 293 c05358 382 7.443184e-03 exponential 3 0.0209061611 NA
#> 301 c05581 1323 4.187799e-03 linear 2 0.1169616348 NA
#> 305 c05641 1567 2.764636e-03 exponential 3 -0.0008701043 NA
#> 306 c05645 1576 7.113588e-04 linear 2 -0.1348525089 NA
#> 312 c05903 2148 4.374165e-03 log-Gauss-probit 4 0.7532079225 12.168583
#> 327 c06059 2495 1.623735e-03 exponential 3 0.9866188485 NA
#> 338 c06208 2970 8.742721e-04 linear 2 0.1440100625 NA
#> 341 c06313 3413 6.508671e-04 Gauss-probit 4 2.5239792304 6.359865
#> 344 c06518 3887 4.434225e-04 exponential 3 1.2826794141 NA
#> 346 c06548 3976 1.118557e-04 linear 2 0.2267279513 NA
#> 354 c06762 4630 1.129124e-03 exponential 3 0.0257922735 NA
#> 361 c06881 4900 9.898720e-04 exponential 3 0.0003893310 NA
#> 364 c06943 5037 4.856986e-04 linear 2 0.1205146652 NA
#> 370 c07072 5328 9.285630e-04 exponential 3 1.7509076084 NA
#> 372 c07118 5428 1.069214e-06 Gauss-probit 4 3.2010176397 13.816221
#> 375 c07206 5768 1.331320e-04 exponential 3 0.0115070482 NA
#> 389 c07529 7138 7.515694e-04 exponential 3 0.0281112604 NA
#> 399 c07859 8092 1.007072e-03 Gauss-probit 4 2.1459634733 7.693951
#> 405 c08131 8701 1.673911e-03 linear 2 0.1826551851 NA
#> 408 c08241 8948 1.777483e-04 Gauss-probit 4 4.3060858426 12.750947
#> 419 c08466 9451 1.593456e-04 exponential 3 0.0008887870 NA
#> 430 c08762 10368 1.641885e-03 exponential 3 0.0030933767 NA
#> 445 c09125 11677 1.569172e-03 exponential 3 0.8284745591 NA
#> 458 c09562 12942 4.373374e-03 exponential 3 -0.0021611489 NA
#> 460 c09598 13030 2.362131e-03 linear 2 -0.2586441199 NA
#> 475 c10057 14495 3.390469e-03 exponential 3 0.0241537891 NA
#> 476 c10066 14533 1.347692e-03 exponential 3 -0.9389331704 NA
#> 488 c10238 15302 1.228501e-03 exponential 3 -1.7937748737 NA
#> 490 c10269 15440 7.296658e-05 exponential 3 1.5924749054 NA
#> 492 c10302 15585 4.225116e-03 exponential 3 0.0066174702 NA
#> 494 c10311 15626 1.016928e-03 log-Gauss-probit 4 0.7845650593 3.521660
#> 499 c10413 16075 3.498590e-04 linear 2 0.1135548342 NA
#> 501 c10499 16461 1.256216e-07 Gauss-probit 4 2.0625479766 11.831280
#> 513 c10934 17597 5.753046e-03 exponential 3 0.0078914200 NA
#> 519 c11233 18523 4.606893e-03 exponential 3 0.0193438159 NA
#> 534 c11906 20969 9.654346e-04 Gauss-probit 4 2.2924767928 11.794843
#> 540 c12260 22081 8.245828e-06 exponential 3 0.1353700658 NA
#> 549 c12576 23487 9.267247e-03 log-Gauss-probit 4 1.0213517059 4.443206
#> 551 c12705 23819 9.933717e-03 exponential 3 -1.7515673870 NA
#> 552 c12781 24007 1.047802e-03 linear 2 0.4825734514 NA
#> 553 c12927 24362 7.217499e-04 linear 2 0.3109087577 NA
#> 554 c13186 25095 5.598806e-03 exponential 3 -0.0003355018 NA
#> 567 c13542 26650 7.852988e-04 exponential 3 0.0026006455 NA
#> 571 c13596 26891 2.014638e-03 Gauss-probit 4 2.0943452876 2.661827
#> 577 c13825 27530 7.036682e-03 Gauss-probit 4 2.3751722909 6.820887
#> 579 c14005 27954 6.155794e-03 linear 2 0.4216192438 NA
#> 586 c14431 29501 2.619248e-03 log-Gauss-probit 4 0.7955319244 5.947486
#> 587 c14431 29501 2.619248e-03 log-Gauss-probit 4 0.7955319244 5.947486
#> 593 c15572 33143 7.075275e-03 exponential 3 0.0464367552 NA
#> 597 c15942 34598 4.718990e-05 exponential 3 -0.0445067510 NA
#> 604 c16973 37787 2.825599e-04 Gauss-probit 4 8.3191178064 -4.668448
#> 608 c17497 39284 3.028115e-04 exponential 3 -0.0023128307 NA
#> 610 c17517 39327 2.461490e-03 exponential 3 0.0005997141 NA
#> 611 c17694 39843 2.019227e-05 exponential 3 -1.8263643423 NA
#> 614 c17823 40393 6.238172e-04 exponential 3 0.0006779690 NA
#> 620 c18315 42046 3.162528e-03 exponential 3 0.0037074842 NA
#> 630 c19738 46332 6.573236e-03 exponential 3 -0.0002344367 NA
#> 641 c21327 51498 7.255831e-06 exponential 3 1.4896819388 NA
#> 645 c21452 51752 7.810285e-07 exponential 3 1.4272338376 NA
#> d e f SDres typology trend y0
#> 1 7.343571 NA NA 0.12454183 L.dec dec 7.343571
#> 2 5.941896 -1.6479584 NA 0.12604568 E.dec.convex dec 5.941896
#> 5 7.859109 NA NA 0.05203245 L.dec dec 7.859109
#> 6 7.859109 NA NA 0.05203245 L.dec dec 7.859109
#> 7 7.859109 NA NA 0.05203245 L.dec dec 7.859109
#> 8 6.857909 -0.3213163 NA 0.23376392 E.dec.convex dec 6.857909
#> 9 6.209286 -0.3230281 NA 0.28968463 E.dec.convex dec 6.209286
#> 10 7.288883 1.3087220 -0.1436781 0.07085857 lGP.U U 7.288883
#> 11 6.868523 -0.6254549 NA 0.15031166 E.dec.convex dec 6.868523
#> 12 7.558481 -0.2649798 NA 0.15353807 E.dec.convex dec 7.558481
#> 13 6.467466 NA NA 0.05769085 L.dec dec 6.467466
#> 14 5.738302 NA NA 0.11726837 L.dec dec 5.738302
#> 16 5.330171 NA NA 0.18706049 L.inc inc 5.330171
#> 17 5.330171 NA NA 0.18706049 L.inc inc 5.330171
#> 18 4.968475 2.0243885 NA 0.14303183 E.inc.convex inc 4.968475
#> 19 4.968475 2.0243885 NA 0.14303183 E.inc.convex inc 4.968475
#> 20 4.968475 2.0243885 NA 0.14303183 E.inc.convex inc 4.968475
#> 22 4.835774 1.4069463 0.2455556 0.10615565 GP.bell bell 4.867514
#> 23 4.835774 1.4069463 0.2455556 0.10615565 GP.bell bell 4.867514
#> 25 5.402328 3.3895616 NA 0.06744390 E.dec.concave dec 5.402328
#> 26 4.917345 3.2236437 0.4530573 0.21991569 lGP.bell bell 4.917345
#> 27 4.917345 3.2236437 0.4530573 0.21991569 lGP.bell bell 4.917345
#> 28 4.917345 3.2236437 0.4530573 0.21991569 lGP.bell bell 4.917345
#> 29 4.917345 3.2236437 0.4530573 0.21991569 lGP.bell bell 4.917345
#> 30 4.917345 3.2236437 0.4530573 0.21991569 lGP.bell bell 4.917345
#> 31 5.975143 0.5875851 -0.6980909 0.26535797 GP.U U 5.328111
#> 32 5.975143 0.5875851 -0.6980909 0.26535797 GP.U U 5.328111
#> 33 5.975143 0.5875851 -0.6980909 0.26535797 GP.U U 5.328111
#> 34 5.975143 0.5875851 -0.6980909 0.26535797 GP.U U 5.328111
#> 35 5.607846 -1.2203359 NA 0.20417365 E.inc.concave inc 5.607846
#> 36 5.607846 -1.2203359 NA 0.20417365 E.inc.concave inc 5.607846
#> 37 5.607846 -1.2203359 NA 0.20417365 E.inc.concave inc 5.607846
#> 39 5.607846 -1.2203359 NA 0.20417365 E.inc.concave inc 5.607846
#> 40 5.607846 -1.2203359 NA 0.20417365 E.inc.concave inc 5.607846
#> 41 5.607846 -1.2203359 NA 0.20417365 E.inc.concave inc 5.607846
#> 42 5.607846 -1.2203359 NA 0.20417365 E.inc.concave inc 5.607846
#> 43 5.607846 -1.2203359 NA 0.20417365 E.inc.concave inc 5.607846
#> 44 4.469882 1.8678530 0.8450245 0.12256991 GP.bell bell 5.081883
#> 46 7.018764 1.9509846 NA 0.05587260 E.dec.concave dec 7.018764
#> 47 7.018764 1.9509846 NA 0.05587260 E.dec.concave dec 7.018764
#> 48 4.491695 -1.7031497 NA 0.18517809 E.inc.concave inc 4.491695
#> 49 4.491695 -1.7031497 NA 0.18517809 E.inc.concave inc 4.491695
#> 50 4.491695 -1.7031497 NA 0.18517809 E.inc.concave inc 4.491695
#> 51 4.491695 -1.7031497 NA 0.18517809 E.inc.concave inc 4.491695
#> 52 5.215709 -1.5647018 NA 0.23592637 E.inc.concave inc 5.215709
#> 53 5.215709 -1.5647018 NA 0.23592637 E.inc.concave inc 5.215709
#> 54 5.215709 -1.5647018 NA 0.23592637 E.inc.concave inc 5.215709
#> 55 5.215709 -1.5647018 NA 0.23592637 E.inc.concave inc 5.215709
#> 56 5.215709 -1.5647018 NA 0.23592637 E.inc.concave inc 5.215709
#> 57 5.215709 -1.5647018 NA 0.23592637 E.inc.concave inc 5.215709
#> 58 5.055577 2.6269663 -0.6208164 0.12476292 GP.U U 4.707014
#> 59 5.513855 NA NA 0.11224716 L.dec dec 5.513855
#> 60 5.513855 NA NA 0.11224716 L.dec dec 5.513855
#> 61 4.689787 1.0923496 -0.4146272 0.17573194 lGP.U U 4.689787
#> 62 4.689787 1.0923496 -0.4146272 0.17573194 lGP.U U 4.689787
#> 63 4.689787 1.0923496 -0.4146272 0.17573194 lGP.U U 4.689787
#> 64 4.689787 1.0923496 -0.4146272 0.17573194 lGP.U U 4.689787
#> 65 4.689787 1.0923496 -0.4146272 0.17573194 lGP.U U 4.689787
#> 67 6.070523 -1.1113399 NA 0.14811681 E.inc.concave inc 6.070523
#> 68 6.070523 -1.1113399 NA 0.14811681 E.inc.concave inc 6.070523
#> 69 6.070523 -1.1113399 NA 0.14811681 E.inc.concave inc 6.070523
#> 70 6.070523 -1.1113399 NA 0.14811681 E.inc.concave inc 6.070523
#> 71 6.489151 1.5921459 NA 0.17066885 E.dec.concave dec 6.489151
#> 72 6.489151 1.5921459 NA 0.17066885 E.dec.concave dec 6.489151
#> 73 6.489151 1.5921459 NA 0.17066885 E.dec.concave dec 6.489151
#> 75 4.862842 1.3892912 0.7365937 0.14844069 GP.bell bell 5.525316
#> 76 4.862842 1.3892912 0.7365937 0.14844069 GP.bell bell 5.525316
#> 77 4.862842 1.3892912 0.7365937 0.14844069 GP.bell bell 5.525316
#> 79 5.216540 1.9279453 0.8281597 0.22659347 GP.bell bell 5.817903
#> 80 5.216540 1.9279453 0.8281597 0.22659347 GP.bell bell 5.817903
#> 81 5.908317 1.3702809 -0.6148327 0.16888946 GP.U U 5.436867
#> 82 5.908317 1.3702809 -0.6148327 0.16888946 GP.U U 5.436867
#> 83 5.908317 1.3702809 -0.6148327 0.16888946 GP.U U 5.436867
#> 84 5.908317 1.3702809 -0.6148327 0.16888946 GP.U U 5.436867
#> 86 12.428212 -2.1982296 NA 0.28684892 E.dec.convex dec 12.428212
#> 87 12.411870 -2.4052289 NA 0.28115971 E.dec.convex dec 12.411870
#> 103 7.236270 -2.3752014 NA 0.30192346 E.inc.concave inc 7.236270
#> 116 9.300591 1.9823323 NA 0.31949144 E.dec.concave dec 9.300591
#> 121 13.082606 5.0536325 NA 0.21425367 E.dec.concave dec 13.082606
#> 123 3.681397 2.5679456 7.7390108 0.55445078 GP.bell bell 10.238924
#> 125 10.764018 NA NA 0.23146795 L.inc inc 10.764018
#> 131 3.159101 1.7419187 3.3237027 0.41149782 GP.bell bell 5.859022
#> 134 11.894336 2.4191926 -1.3218368 0.24812481 GP.U U 11.083641
#> 150 5.662624 NA NA 0.32569343 L.inc inc 5.662624
#> 157 8.068158 -1.5870424 NA 0.57855035 E.inc.concave inc 8.068158
#> 161 11.596818 1.8275480 -0.8682280 0.29736729 GP.U U 10.992074
#> 169 8.329304 NA NA 0.31094519 L.inc inc 8.329304
#> 172 9.111936 NA NA 0.84138808 L.dec dec 9.111936
#> 178 10.205586 2.8555099 2.3244195 0.41255116 GP.bell bell 11.551851
#> 180 13.959092 NA NA 0.26918435 L.dec dec 13.959092
#> 181 13.959092 NA NA 0.26918435 L.dec dec 13.959092
#> 183 6.736177 -0.6498650 NA 0.38185313 E.inc.concave inc 6.736177
#> 184 6.408554 NA NA 0.52767310 L.inc inc 6.408554
#> 186 8.901037 1.0237053 NA 0.37429011 E.dec.concave dec 8.901037
#> 188 4.168006 2.3167014 1.3407136 0.64489184 lGP.bell bell 4.168006
#> 193 3.041593 1.8809478 1.7942520 0.87754767 lGP.bell bell 3.041593
#> 196 12.278610 1.7372724 -2.0216456 0.53171016 lGP.U U 12.278610
#> 198 10.350443 NA NA 0.39026969 L.dec dec 10.350443
#> 202 9.654095 1.9560222 -2.1370159 1.14939830 lGP.U U 9.654095
#> 228 7.723356 2.5397977 5.2069816 0.18596550 GP.bell bell 12.616033
#> 233 -2.630433 0.0000000 3.7693124 0.45467691 GP.bell bell 3.902563
#> 235 11.849601 1.9585039 0.8349853 0.42763624 lGP.bell bell 11.849601
#> 238 15.751380 1.2089428 NA 0.43153316 E.dec.concave dec 15.751380
#> 243 11.908364 2.7394740 1.2475547 0.17108221 GP.bell bell 12.737821
#> 245 8.309831 1.7832021 NA 0.47444618 E.inc.convex inc 8.309831
#> 246 8.309831 1.7832021 NA 0.47444618 E.inc.convex inc 8.309831
#> 252 17.926717 NA NA 0.19130163 L.inc inc 17.926717
#> 253 11.552853 1.7586717 0.9857557 0.27811862 lGP.bell bell 11.552853
#> 256 11.273898 -2.4815554 NA 0.24110024 E.dec.convex dec 11.273898
#> 266 5.055152 -0.5889109 NA 0.72440497 E.dec.convex dec 5.055152
#> 275 11.097343 2.0754574 NA 0.27234802 E.inc.convex inc 11.097343
#> 276 6.963048 -2.0722462 NA 0.44005180 E.dec.convex dec 6.963048
#> 291 4.628540 NA NA 0.44374643 L.dec dec 4.628540
#> 293 9.824353 1.9682607 NA 0.21543421 E.inc.convex inc 9.824353
#> 301 12.582904 NA NA 0.28459726 L.inc inc 12.582904
#> 305 12.978673 0.9062525 NA 0.48389149 E.dec.concave dec 12.978673
#> 306 12.920552 NA NA 0.29030980 L.dec dec 12.920552
#> 312 12.168583 2.0515078 0.7474307 0.31596860 lGP.bell bell 12.168583
#> 327 4.946831 -0.7537935 NA 0.38646039 E.dec.convex dec 4.946831
#> 338 10.397791 NA NA 0.31334720 L.inc inc 10.397791
#> 341 6.359865 2.1273579 -4.1079331 1.11545022 GP.U U 3.480083
#> 344 10.429183 -2.6796044 NA 0.37877170 E.dec.convex dec 10.429183
#> 346 9.672700 NA NA 0.45436857 L.inc inc 9.672700
#> 354 5.609934 1.8216559 NA 0.32521096 E.inc.convex inc 5.609934
#> 361 9.377940 0.8420820 NA 0.38873834 E.inc.convex inc 9.377940
#> 364 10.014326 NA NA 0.27962037 L.inc inc 10.014326
#> 370 6.118400 -2.3714972 NA 0.59801495 E.dec.convex dec 6.118400
#> 372 13.816221 1.9596785 -3.2185534 0.39523662 GP.U U 11.147673
#> 375 11.805578 1.3537714 NA 0.50658959 E.inc.convex inc 11.805578
#> 389 5.114821 1.4084038 NA 1.09855421 E.inc.convex inc 5.114821
#> 399 7.693951 1.5471002 0.6661478 0.19149575 GP.bell bell 8.207650
#> 405 4.872178 NA NA 0.43574679 L.inc inc 4.872178
#> 408 12.750947 2.2781947 -2.6699053 0.24834756 GP.U U 10.429737
#> 419 8.322289 0.8805994 NA 0.48194682 E.inc.convex inc 8.322289
#> 430 7.540803 1.2173378 NA 0.27550558 E.inc.convex inc 7.540803
#> 445 12.928749 -1.3776799 NA 0.29718879 E.dec.convex dec 12.928749
#> 458 9.916022 1.0820381 NA 0.43570777 E.dec.concave dec 9.916022
#> 460 6.195518 NA NA 0.64907510 L.dec dec 6.195518
#> 475 12.738419 1.6671166 NA 0.51466168 E.inc.convex inc 12.738419
#> 476 7.627804 -2.0128076 NA 0.32054437 E.inc.concave inc 7.627804
#> 488 4.475119 -1.3700499 NA 0.65855748 E.inc.concave inc 4.475119
#> 490 8.307995 -2.3133165 NA 0.42499412 E.dec.convex dec 8.307995
#> 492 10.373727 1.3213539 NA 0.46734668 E.inc.convex inc 10.373727
#> 494 3.521660 1.5925756 1.6525193 0.71149572 lGP.bell bell 3.521660
#> 499 8.667552 NA NA 0.23785120 L.inc inc 8.667552
#> 501 11.831280 2.0127634 -2.1716042 0.35429372 GP.U U 10.482349
#> 513 2.856807 1.2403251 NA 0.72920067 E.inc.convex inc 2.856807
#> 519 11.872955 1.6928649 NA 0.36955986 E.inc.convex inc 11.872955
#> 534 11.794843 1.8803822 -1.7229567 0.53837776 GP.U U 10.564068
#> 540 4.828430 2.0830008 NA 0.73289707 E.inc.convex inc 4.828430
#> 549 4.443206 1.5956017 -2.0801672 1.01087060 lGP.U U 4.443206
#> 551 3.922000 -1.4167347 NA 0.80658748 E.inc.concave inc 3.922000
#> 552 2.983728 NA NA 1.23243335 L.inc inc 2.983728
#> 553 3.293896 NA NA 0.78506590 L.inc inc 3.293896
#> 554 4.782034 0.7862608 NA 0.62138156 E.dec.concave dec 4.782034
#> 567 4.100345 0.9665863 NA 0.83033880 E.inc.convex inc 4.100345
#> 571 2.661827 1.8081921 1.5558322 0.59126123 GP.bell bell 3.733593
#> 577 6.820887 2.2045847 -1.9822962 0.65642859 GP.U U 5.532363
#> 579 2.353068 NA NA 1.29727813 L.inc inc 2.353068
#> 586 5.947486 2.1464196 -1.2818324 0.48811443 lGP.U U 5.947486
#> 587 5.947486 2.1464196 -1.2818324 0.48811443 lGP.U U 5.947486
#> 593 2.709461 1.8595387 NA 0.73835019 E.inc.convex inc 2.709461
#> 597 5.266716 1.7742492 NA 0.45397783 E.dec.concave dec 5.266716
#> 604 -4.668448 2.7306565 14.1086676 0.29870979 GP.bell bell 8.700290
#> 608 7.176469 1.0238480 NA 0.42350852 E.dec.concave dec 7.176469
#> 610 2.783684 0.8429907 NA 0.60237813 E.inc.convex inc 2.783684
#> 611 8.797682 -1.8935670 NA 0.47334309 E.inc.concave inc 8.797682
#> 614 9.580443 0.9456406 NA 0.19945603 E.inc.convex inc 9.580443
#> 620 2.604185 1.0531930 NA 0.75747748 E.inc.convex inc 2.604185
#> 630 8.262534 0.7222172 NA 0.96123411 E.dec.concave dec 8.262534
#> 641 13.349535 -1.8926198 NA 0.34219661 E.dec.convex dec 13.349535
#> 645 12.344658 -2.4650317 NA 0.25729560 E.dec.convex dec 12.344658
#> yrange maxychange xextrem yextrem BMD.zSD BMR.zSD BMD.xfold
#> 1 0.4346034 0.4346034 NA NA 2.2237393 7.219029 NA
#> 2 0.4556672 0.4556672 NA NA 0.5279668 5.815850 NA
#> 5 0.3498078 0.3498078 NA NA 1.1542677 7.807077 NA
#> 6 0.3498078 0.3498078 NA NA 1.1542677 7.807077 NA
#> 7 0.3498078 0.3498078 NA NA 1.1542677 7.807077 NA
#> 8 0.6010677 0.6010677 NA NA 0.1582542 6.624146 NA
#> 9 0.6721023 0.6721023 NA NA 0.1821546 5.919602 0.8318574
#> 10 0.1912790 0.1912790 1.4588204 7.097604 0.7315304 7.218025 NA
#> 11 0.4520636 0.4520636 NA NA 0.2528186 6.718211 NA
#> 12 0.4392508 0.4392508 NA NA 0.1139635 7.404943 NA
#> 13 0.1503987 0.1503987 NA NA 2.9766289 6.409775 NA
#> 14 0.4491366 0.4491366 NA NA 2.0261156 5.621033 NA
#> 16 0.4771993 0.4771993 NA NA 3.0418937 5.517232 NA
#> 17 0.4771993 0.4771993 NA NA 3.0418937 5.517232 NA
#> 18 0.3520280 0.3520280 NA NA 5.9997652 5.111507 NA
#> 19 0.3520280 0.3520280 NA NA 5.9997652 5.111507 NA
#> 20 0.3520280 0.3520280 NA NA 5.9997652 5.111507 NA
#> 22 0.2455556 0.2138158 1.4069463 5.081330 0.6597819 4.973670 NA
#> 23 0.2455556 0.2138158 1.4069463 5.081330 0.6597819 4.973670 NA
#> 25 0.2833937 0.2833937 NA NA 3.8465968 5.334884 NA
#> 26 0.4530573 0.4530573 3.2236437 5.370402 1.5389057 5.137260 NA
#> 27 0.4530573 0.4530573 3.2236437 5.370402 1.5389057 5.137260 NA
#> 28 0.4530573 0.4530573 3.2236437 5.370402 1.5389057 5.137260 NA
#> 29 0.4530573 0.4530573 3.2236437 5.370402 1.5389057 5.137260 NA
#> 30 0.4530573 0.4530573 3.2236437 5.370402 1.5389057 5.137260 NA
#> 31 0.6980825 0.6470232 0.5875851 5.277052 2.2442671 5.593469 3.4561250
#> 32 0.6980825 0.6470232 0.5875851 5.277052 2.2442671 5.593469 3.4561250
#> 33 0.6980825 0.6470232 0.5875851 5.277052 2.2442671 5.593469 3.4561250
#> 34 0.6980825 0.6470232 0.5875851 5.277052 2.2442671 5.593469 3.4561250
#> 35 0.3960491 0.3960491 NA NA 0.8821213 5.812020 NA
#> 36 0.3960491 0.3960491 NA NA 0.8821213 5.812020 NA
#> 37 0.3960491 0.3960491 NA NA 0.8821213 5.812020 NA
#> 39 0.3960491 0.3960491 NA NA 0.8821213 5.812020 NA
#> 40 0.3960491 0.3960491 NA NA 0.8821213 5.812020 NA
#> 41 0.3960491 0.3960491 NA NA 0.8821213 5.812020 NA
#> 42 0.3960491 0.3960491 NA NA 0.8821213 5.812020 NA
#> 43 0.3960491 0.3960491 NA NA 0.8821213 5.812020 NA
#> 44 0.8109383 0.5779147 1.8678530 5.314907 0.6370853 5.204453 6.6295891
#> 46 0.2284144 0.2284144 NA NA 5.1225625 6.962891 NA
#> 47 0.2284144 0.2284144 NA NA 5.1225625 6.962891 NA
#> 48 0.3629299 0.3629299 NA NA 1.1972137 4.676873 NA
#> 49 0.3629299 0.3629299 NA NA 1.1972137 4.676873 NA
#> 50 0.3629299 0.3629299 NA NA 1.1972137 4.676873 NA
#> 51 0.3629299 0.3629299 NA NA 1.1972137 4.676873 NA
#> 52 0.5113868 0.5113868 NA NA 0.9586777 5.451635 NA
#> 53 0.5113868 0.5113868 NA NA 0.9586777 5.451635 NA
#> 54 0.5113868 0.5113868 NA NA 0.9586777 5.451635 NA
#> 55 0.5113868 0.5113868 NA NA 0.9586777 5.451635 NA
#> 56 0.5113868 0.5113868 NA NA 0.9586777 5.451635 NA
#> 57 0.5113868 0.5113868 NA NA 0.9586777 5.451635 NA
#> 58 0.5522909 0.2800374 2.6269663 4.434761 0.8261462 4.582251 NA
#> 59 0.3939227 0.3939227 NA NA 2.2111898 5.401608 NA
#> 60 0.3939227 0.3939227 NA NA 2.2111898 5.401608 NA
#> 61 0.4981938 0.3405782 1.0482802 4.349209 0.7805309 4.514055 NA
#> 62 0.4981938 0.3405782 1.0482802 4.349209 0.7805309 4.514055 NA
#> 63 0.4981938 0.3405782 1.0482802 4.349209 0.7805309 4.514055 NA
#> 64 0.4981938 0.3405782 1.0482802 4.349209 0.7805309 4.514055 NA
#> 65 0.4981938 0.3405782 1.0482802 4.349209 0.7805309 4.514055 NA
#> 67 0.2683749 0.2683749 NA NA 0.8908528 6.218640 NA
#> 68 0.2683749 0.2683749 NA NA 0.8908528 6.218640 NA
#> 69 0.2683749 0.2683749 NA NA 0.8908528 6.218640 NA
#> 70 0.2683749 0.2683749 NA NA 0.8908528 6.218640 NA
#> 71 0.5966741 0.5966741 NA NA 5.7972864 6.318483 NA
#> 72 0.5966741 0.5966741 NA NA 5.7972864 6.318483 NA
#> 73 0.5966741 0.5966741 NA NA 5.7972864 6.318483 NA
#> 75 0.6573939 0.5832748 1.3892912 5.599435 3.9480418 5.376875 7.2728900
#> 76 0.6573939 0.5832748 1.3892912 5.599435 3.9480418 5.376875 7.2728900
#> 77 0.6573939 0.5832748 1.3892912 5.599435 3.9480418 5.376875 7.2728900
#> 79 0.7838623 0.5570660 1.9279453 6.044699 1.8746151 6.044497 NA
#> 80 0.7838623 0.5570660 1.9279453 6.044699 1.8746151 6.044497 NA
#> 81 0.6129220 0.4695398 1.3702809 5.293484 3.6094654 5.605756 NA
#> 82 0.6129220 0.4695398 1.3702809 5.293484 3.6094654 5.605756 NA
#> 83 0.6129220 0.4695398 1.3702809 5.293484 3.6094654 5.605756 NA
#> 84 0.6129220 0.4695398 1.3702809 5.293484 3.6094654 5.605756 NA
#> 86 1.4260064 1.4260064 NA NA 0.4667565 12.141363 3.8804658
#> 87 1.3187707 1.3187707 NA NA 0.5356979 12.130711 5.1282913
#> 103 0.7254029 0.7254029 NA NA 1.1767628 7.538193 6.5436013
#> 116 0.6953599 0.6953599 NA NA 5.1699097 8.981100 NA
#> 121 1.2471032 1.2471032 NA NA 1.9341638 12.868353 NA
#> 123 2.6271853 1.4457016 2.5679456 11.420407 0.7339797 10.793374 1.6629870
#> 125 0.5298971 0.5298971 NA NA 2.8965322 10.995486 NA
#> 131 2.6773137 2.0535315 1.7419187 6.482804 0.7603447 6.270519 1.3328628
#> 134 1.0214920 0.5111417 2.4191926 10.572500 0.7894809 10.835516 NA
#> 150 1.0445220 1.0445220 NA NA 2.0676187 5.988317 3.5948366
#> 157 1.6606248 1.6606248 NA NA 0.6668007 8.646709 1.0329475
#> 161 0.7968439 0.5333591 1.8275480 10.728590 4.9242758 11.289442 NA
#> 169 1.4213819 1.4213819 NA NA 1.4506148 8.640249 3.8857687
#> 172 2.4354311 2.4354311 NA NA 2.2908652 8.270548 2.4809261
#> 178 1.4297124 0.9781543 2.8555099 12.530005 0.8151722 11.964402 NA
#> 180 0.7551267 0.7551267 NA NA 2.3637907 13.689907 NA
#> 181 0.7551267 0.7551267 NA NA 2.3637907 13.689907 NA
#> 183 1.2492267 1.2492267 NA NA 0.2370668 7.118030 0.5035207
#> 184 1.3030102 1.3030102 NA NA 2.6853208 6.936227 3.2613039
#> 186 0.9204590 0.9204590 NA NA 5.7121222 8.526747 6.5967242
#> 188 1.3407136 1.3407136 2.3167014 5.508719 1.1232833 4.812898 0.9282272
#> 193 1.7942520 1.7942520 1.8809478 4.835845 0.8218053 3.919141 0.5103535
#> 196 2.0216456 2.0216456 1.7372724 10.256965 0.6687799 11.746900 0.9695193
#> 198 0.8961317 0.8961317 NA NA 2.8878327 9.960173 NA
#> 202 2.1370159 2.1370159 1.9560222 7.517079 0.9072409 8.504697 0.8197933
#> 228 0.7767741 0.4624698 2.5397977 12.930338 0.9318105 12.801999 NA
#> 233 0.9872534 0.6272225 2.2864089 4.529785 1.0599593 4.357240 0.8573274
#> 235 0.8349853 0.8349853 1.9585039 12.684587 0.8218319 12.277238 NA
#> 238 1.5763081 1.5763081 NA NA 5.0780515 15.319847 6.6301060
#> 243 0.7000964 0.4180970 2.7394740 13.155918 0.7253125 12.908904 NA
#> 245 0.9360331 0.9360331 NA NA 5.4609223 8.784277 6.4241875
#> 246 0.9360331 0.9360331 NA NA 5.4609223 8.784277 6.4241875
#> 252 0.6196609 0.6196609 NA NA 2.0471215 18.118018 NA
#> 253 0.9857557 0.9857557 1.7586717 12.538608 0.5508093 11.830971 NA
#> 256 0.7471482 0.7471482 NA NA 0.8865055 11.032798 NA
#> 266 1.7011398 1.7011398 NA NA 0.3267449 4.330747 0.2076643
#> 275 1.0315095 1.0315095 NA NA 4.0915465 11.369691 NA
#> 276 1.5599561 1.5599561 NA NA 0.6538412 6.522996 1.1581900
#> 291 1.0796687 1.0796687 NA NA 2.7253570 4.184793 2.8427097
#> 293 0.5863849 0.5863849 NA NA 4.7734831 10.039788 NA
#> 301 0.7755726 0.7755726 NA NA 2.4332531 12.867502 NA
#> 305 1.3091568 1.3091568 NA NA 5.7300529 12.494781 6.6231563
#> 306 0.8942070 0.8942070 NA NA 2.1527950 12.630242 NA
#> 312 0.7474307 0.7474307 2.0515078 12.916014 0.7635263 12.484552 NA
#> 327 0.9864697 0.9864697 NA NA 0.3747033 4.560371 0.5245918
#> 338 0.9549307 0.9549307 NA NA 2.1758702 10.711139 NA
#> 341 3.2718424 2.0436913 2.1273579 2.251932 1.5320368 2.364633 0.3746104
#> 344 1.1746841 1.1746841 NA NA 0.9378058 10.050411 4.4938667
#> 346 1.5034330 1.5034330 NA NA 2.0040254 10.127068 4.2662140
#> 354 0.9567759 0.9567759 NA NA 4.7558343 5.935145 5.6919180
#> 361 1.0233370 1.0233370 NA NA 5.8164566 9.766679 6.5575207
#> 364 0.7991327 0.7991327 NA NA 2.3202186 10.293947 NA
#> 370 1.6440213 1.6440213 NA NA 0.9909542 5.520385 1.0195641
#> 372 2.1088211 1.5588160 1.9596785 10.597668 0.9547622 10.752436 5.8228192
#> 375 1.5309438 1.5309438 NA NA 5.1540813 12.312167 6.2821526
#> 389 3.0879871 3.0879871 NA NA 5.1982036 6.213375 4.1613342
#> 399 0.6258898 0.4734413 1.5471002 8.360099 4.1335653 8.016154 NA
#> 405 1.2111865 1.2111865 NA NA 2.3856251 5.307925 2.6674183
#> 408 1.0680948 0.7193997 2.2781947 10.081042 1.0862987 10.181390 NA
#> 419 1.6551785 1.6551785 NA NA 5.5456395 8.804236 6.0260053
#> 430 0.7148534 0.7148534 NA NA 5.4786411 7.816309 NA
#> 445 0.8217456 0.8217456 NA NA 0.6120840 12.631560 NA
#> 458 0.9890126 0.9890126 NA NA 5.7470070 9.480314 NA
#> 460 1.7150692 1.7150692 NA NA 2.5095297 5.546443 2.3953832
#> 475 1.2652916 1.2652916 NA NA 5.1762835 13.253081 NA
#> 476 0.9041080 0.9041080 NA NA 0.8406026 7.948348 3.3682176
#> 488 1.7795910 1.7795910 NA NA 0.6267952 5.133676 0.3931901
#> 490 1.5018619 1.5018619 NA NA 0.7181485 7.883001 1.7061269
#> 492 0.9936782 0.9936782 NA NA 5.6440554 10.841074 NA
#> 494 1.6525193 1.6525193 1.5925756 5.174180 0.5751369 4.233156 0.4008074
#> 499 0.7529821 0.7529821 NA NA 2.0945933 8.905403 NA
#> 501 1.9945506 1.1718772 2.0127634 9.659675 0.5750563 10.128055 6.1142017
#> 513 1.6477686 1.6477686 NA NA 5.6272766 3.586008 4.4854464
#> 519 0.9527003 0.9527003 NA NA 5.0802181 12.242515 NA
#> 534 1.5216846 1.0295037 1.8803822 10.071887 4.9758852 11.102445 NA
#> 540 3.1308885 3.1308885 NA NA 3.8712302 5.561327 3.1637050
#> 549 2.0801672 2.0801672 1.5956017 2.363039 0.4677758 3.432336 0.2651867
#> 551 1.7353224 1.7353224 NA NA 0.8742707 4.728587 0.3591303
#> 552 3.1999446 3.1999446 NA NA 2.5538772 4.216161 0.6182950
#> 553 2.0616360 2.0616360 NA NA 2.5250685 4.078962 1.0594414
#> 554 1.5426292 1.5426292 NA NA 5.9163079 4.160652 5.7105061
#> 567 2.4773277 2.4773277 NA NA 5.5764311 4.930684 4.8975036
#> 571 1.4460633 0.9619972 1.8081921 4.217660 5.0186649 3.142332 1.0034930
#> 577 1.6331559 0.9393843 2.2045847 4.838591 1.7413609 4.875934 1.2937236
#> 579 2.7957572 2.7957572 NA NA 3.0768950 3.650346 0.5581026
#> 586 1.2818324 1.2818324 2.1464196 4.665653 0.7105856 5.459371 0.8008469
#> 587 1.2818324 1.2818324 2.1464196 4.665653 0.7105856 5.459371 0.8008469
#> 593 1.5961529 1.5961529 NA NA 5.2575129 3.447811 3.5740658
#> 597 1.8241896 1.8241896 NA NA 4.2864651 4.812738 4.5279917
#> 604 1.4684527 0.7399295 2.7306565 9.440219 0.6335929 8.998999 NA
#> 608 1.5003885 1.5003885 NA NA 5.3399279 6.752960 5.8776276
#> 610 1.5629901 1.5629901 NA NA 5.8277486 3.386062 5.1779858
#> 611 1.7713152 1.7713152 NA NA 0.5680459 9.271025 1.2444712
#> 614 0.7519149 0.7519149 NA NA 5.3784638 9.779899 NA
#> 620 2.0074095 2.0074095 NA NA 5.6077502 3.361662 4.4929978
#> 630 2.2773688 2.2773688 NA NA 6.0081475 7.301299 5.8988929
#> 641 1.4448595 1.4448595 NA NA 0.4939544 13.007338 4.2861144
#> 645 1.3303544 1.3303544 NA NA 0.4900168 12.087363 4.9350083
#> BMR.xfold BMD.zSD.lower BMD.zSD.upper BMD.xfold.lower BMD.xfold.upper
#> 1 6.609214 0.97850954 4.0686985 Inf Inf
#> 2 5.347706 0.20008806 1.1095586 Inf Inf
#> 5 7.073198 0.75185882 1.4649978 Inf Inf
#> 6 7.073198 0.75185882 1.4649978 Inf Inf
#> 7 7.073198 0.75185882 1.4649978 Inf Inf
#> 8 6.172119 0.05543773 0.6804425 0.56115437 Inf
#> 9 5.588358 0.08095270 0.7936032 0.32929317 Inf
#> 10 8.017772 0.42468408 1.0520363 Inf Inf
#> 11 6.181671 0.07579775 0.7005182 Inf Inf
#> 12 6.802633 0.03694799 0.4209217 Inf Inf
#> 13 5.820719 1.67433198 5.3037292 Inf Inf
#> 14 5.164472 1.25236329 2.8522870 7.56375893 Inf
#> 16 5.863188 1.32631865 6.0595553 5.92523484 Inf
#> 17 5.863188 1.32631865 6.0595553 5.92523484 Inf
#> 18 5.465323 2.76071129 7.1933590 7.67906625 Inf
#> 19 5.465323 2.76071129 7.1933590 7.67906625 Inf
#> 20 5.465323 2.76071129 7.1933590 7.67906625 Inf
#> 22 4.380763 0.36442365 2.2863213 Inf Inf
#> 23 4.380763 0.36442365 2.2863213 Inf Inf
#> 25 4.862095 1.87728956 5.7928776 Inf Inf
#> 26 4.425610 0.63687870 2.6421628 1.60732079 Inf
#> 27 4.425610 0.63687870 2.6421628 1.60732079 Inf
#> 28 4.425610 0.63687870 2.6421628 1.60732079 Inf
#> 29 4.425610 0.63687870 2.6421628 1.60732079 Inf
#> 30 4.425610 0.63687870 2.6421628 1.60732079 Inf
#> 31 5.860923 0.37773418 3.4329037 2.12091124 Inf
#> 32 5.860923 0.37773418 3.4329037 2.12091124 Inf
#> 33 5.860923 0.37773418 3.4329037 2.12091124 Inf
#> 34 5.860923 0.37773418 3.4329037 2.12091124 Inf
#> 35 6.168631 0.24887531 4.0820798 2.79173759 Inf
#> 36 6.168631 0.24887531 4.0820798 2.79173759 Inf
#> 37 6.168631 0.24887531 4.0820798 2.79173759 Inf
#> 39 6.168631 0.24887531 4.0820798 2.79173759 Inf
#> 40 6.168631 0.24887531 4.0820798 2.79173759 Inf
#> 41 6.168631 0.24887531 4.0820798 2.79173759 Inf
#> 42 6.168631 0.24887531 4.0820798 2.79173759 Inf
#> 43 6.168631 0.24887531 4.0820798 2.79173759 Inf
#> 44 4.573695 0.32686514 3.1332891 5.73891269 Inf
#> 46 6.316887 2.43380228 6.3223929 Inf Inf
#> 47 6.316887 2.43380228 6.3223929 Inf Inf
#> 48 4.940865 0.35799216 4.2882933 2.32048362 Inf
#> 49 4.940865 0.35799216 4.2882933 2.32048362 Inf
#> 50 4.940865 0.35799216 4.2882933 2.32048362 Inf
#> 51 4.940865 0.35799216 4.2882933 2.32048362 Inf
#> 52 5.737279 0.30086446 3.1833272 1.30741047 Inf
#> 53 5.737279 0.30086446 3.1833272 1.30741047 Inf
#> 54 5.737279 0.30086446 3.1833272 1.30741047 Inf
#> 55 5.737279 0.30086446 3.1833272 1.30741047 Inf
#> 56 5.737279 0.30086446 3.1833272 1.30741047 Inf
#> 57 5.737279 0.30086446 3.1833272 1.30741047 Inf
#> 58 5.177716 0.46124416 1.4873687 Inf Inf
#> 59 4.962470 1.03576992 3.6179409 Inf Inf
#> 60 4.962470 1.03576992 3.6179409 Inf Inf
#> 61 5.158766 0.48406738 1.2370211 0.80809797 Inf
#> 62 5.158766 0.48406738 1.2370211 0.80809797 Inf
#> 63 5.158766 0.48406738 1.2370211 0.80809797 Inf
#> 64 5.158766 0.48406738 1.2370211 0.80809797 Inf
#> 65 5.158766 0.48406738 1.2370211 0.80809797 Inf
#> 67 6.677576 0.26644454 4.2871164 Inf Inf
#> 68 6.677576 0.26644454 4.2871164 Inf Inf
#> 69 6.677576 0.26644454 4.2871164 Inf Inf
#> 70 6.677576 0.26644454 4.2871164 Inf Inf
#> 71 5.840236 3.09334793 6.6162300 7.32335336 Inf
#> 72 5.840236 3.09334793 6.6162300 7.32335336 Inf
#> 73 5.840236 3.09334793 6.6162300 7.32335336 Inf
#> 75 4.972785 0.63064808 4.7996149 5.94571062 Inf
#> 76 4.972785 0.63064808 4.7996149 5.94571062 Inf
#> 77 4.972785 0.63064808 4.7996149 5.94571062 Inf
#> 79 5.236113 0.52106128 5.9739107 5.91975161 Inf
#> 80 5.236113 0.52106128 5.9739107 5.91975161 Inf
#> 81 5.980553 0.42901273 4.3080978 5.24829289 Inf
#> 82 5.980553 0.42901273 4.3080978 5.24829289 Inf
#> 83 5.980553 0.42901273 4.3080978 5.24829289 Inf
#> 84 5.980553 0.42901273 4.3080978 5.24829289 Inf
#> 86 11.185391 0.24296501 0.8254193 2.32365503 Inf
#> 87 11.170683 0.28244583 0.9252443 2.78927718 Inf
#> 103 7.959897 0.46760570 2.8942164 1.94401632 Inf
#> 116 8.370532 2.62074447 6.1892385 6.39907958 Inf
#> 121 11.774346 1.07799896 3.2324908 6.13410907 Inf
#> 123 11.262816 0.39650460 1.0210325 0.93588481 6.2063487
#> 125 11.840420 1.64980574 4.7578654 Inf Inf
#> 131 6.444924 0.37828212 3.9147635 0.64172080 4.6921648
#> 134 12.192005 0.45119793 1.3369379 Inf Inf
#> 150 6.228886 1.30775683 3.0619063 2.63321348 5.1889529
#> 157 8.874974 0.27525816 1.6705374 0.44800424 2.7783783
#> 161 12.091282 0.60384236 5.6978525 Inf Inf
#> 169 9.162234 0.96799087 1.9783744 3.14745914 5.1690481
#> 172 8.200742 1.50525257 3.4011695 1.95515289 3.7737373
#> 178 10.396666 0.53046359 1.1464625 1.68379792 Inf
#> 180 12.563182 1.54875481 3.5028687 Inf Inf
#> 181 12.563182 1.54875481 3.5028687 Inf Inf
#> 183 7.409795 0.08183997 0.5980861 0.19125061 1.6257035
#> 184 7.049409 1.75885065 4.3783442 2.22896204 5.6185328
#> 186 8.010933 2.93461899 6.0719877 5.69970451 Inf
#> 188 4.584806 0.50278548 1.8172104 0.39883826 1.5901895
#> 193 3.345752 0.35654678 1.4592305 0.16656157 1.1565046
#> 196 11.050749 0.43301683 0.8971572 0.74039512 1.2380754
#> 198 9.315398 1.73688931 5.1197523 5.38884008 Inf
#> 202 8.688686 0.35183367 1.7316828 0.36262819 1.4953577
#> 228 11.354430 0.48380870 1.5400128 Inf Inf
#> 233 4.292819 0.40044672 6.5720202 0.37251622 5.9756156
#> 235 10.664641 0.31820753 1.5828158 1.30158571 Inf
#> 238 14.176242 2.74132244 5.6217506 6.05963970 Inf
#> 243 11.464039 0.45259236 0.9852054 Inf Inf
#> 245 9.140814 2.60802191 6.3443547 4.77393169 Inf
#> 246 9.140814 2.60802191 6.3443547 4.77393169 Inf
#> 252 19.719388 1.32526215 3.0171899 Inf Inf
#> 253 10.397567 0.27487668 0.8684603 1.20202041 Inf
#> 256 10.146508 0.34554032 1.8031346 Inf Inf
#> 266 4.549637 0.11229115 1.1562790 0.08920198 0.6082146
#> 275 12.207078 2.02820057 5.2593819 6.17057748 Inf
#> 276 6.266743 0.27957255 1.4053942 0.62385724 2.4264491
#> 291 4.165686 1.61304816 4.7440724 2.05493380 4.8155223
#> 293 10.806789 2.28426943 5.7598313 Inf Inf
#> 301 13.841195 1.57349911 3.9836203 Inf Inf
#> 305 11.680806 2.74748436 5.9480926 5.95909053 Inf
#> 306 11.628496 1.31584676 3.3142276 Inf Inf
#> 312 10.951725 0.32210163 1.4464539 Inf Inf
#> 327 4.452148 0.11967646 1.0401929 0.19534852 1.6577848
#> 338 11.437571 1.50483906 3.0487558 5.43599051 Inf
#> 341 3.132075 0.55429742 5.7718558 0.24775913 0.9522847
#> 344 9.386265 0.41050756 2.0533236 2.06051125 Inf
#> 346 10.639970 1.12797148 3.0911075 3.10061531 6.0301429
#> 354 6.170927 2.27138538 5.7358531 3.72920786 6.3344473
#> 361 10.315734 2.77164549 6.0800988 5.52360080 Inf
#> 364 11.015759 1.35631407 3.9482498 6.11649532 Inf
#> 370 5.506560 0.38959091 2.2272543 0.50373257 2.2560210
#> 372 12.262440 0.43168938 4.3245839 5.06418512 Inf
#> 375 12.986136 2.72596759 5.7854763 5.14744071 Inf
#> 389 5.626303 2.38471036 5.6950050 1.25212089 5.0100759
#> 399 7.386885 0.58678810 4.9024458 Inf Inf
#> 405 5.359396 1.48802589 3.7982782 1.85410611 4.4410965
#> 408 11.472711 0.49209232 4.7797975 Inf Inf
#> 419 9.154518 3.01643160 5.7582422 4.45466791 6.2076045
#> 430 8.294884 3.11003882 5.9115909 5.95974847 Inf
#> 445 11.635874 0.24885181 1.7730190 Inf Inf
#> 458 8.924420 2.95397705 6.1224920 5.86209386 Inf
#> 460 5.575966 1.51555559 4.1284671 1.76309457 3.8398589
#> 475 14.012261 2.57284026 6.0635216 5.59601377 Inf
#> 476 8.390585 0.35181993 1.9120592 1.37283122 Inf
#> 488 4.922630 0.20461711 1.6845815 0.13994566 1.2568975
#> 490 7.477196 0.32356830 1.4338426 0.97175675 3.0973018
#> 492 11.411100 2.93033518 6.1810802 5.55823991 Inf
#> 494 3.873826 0.18220941 1.0969609 0.09169953 0.8486895
#> 499 9.534307 1.36558810 3.0277098 5.76250310 Inf
#> 501 11.530584 0.33731937 0.9197975 1.50805897 Inf
#> 513 3.142488 2.82669704 6.1106136 1.28010249 5.2509376
#> 519 13.060251 2.75999567 5.7929246 6.33809779 Inf
#> 534 11.620474 0.57587075 5.6502320 1.73266615 Inf
#> 540 5.311273 2.09802632 5.1109137 1.45839343 4.7290176
#> 549 3.998886 0.05399315 1.2442471 0.01432065 0.6768693
#> 551 4.314200 0.27996824 2.9680621 0.12373376 1.4896918
#> 552 3.282101 1.41586955 4.2784519 0.34784795 1.0906435
#> 553 3.623286 1.47301680 4.2390445 0.68741986 1.8230891
#> 554 4.303831 3.07905725 6.0763029 2.72472787 5.8528389
#> 567 4.510380 3.04662568 5.8599969 1.79850499 5.3875293
#> 571 4.106953 0.64467381 5.9696696 0.44860443 4.9243516
#> 577 4.979126 0.65520412 6.2161646 0.68872614 5.5777863
#> 579 2.588375 1.71979781 5.8334366 0.29269724 1.3384842
#> 586 5.352737 0.31331655 1.2981207 0.45448294 1.4204213
#> 587 5.352737 0.31331655 1.2981207 0.45448294 1.4204213
#> 593 2.980407 2.37205969 6.2112758 1.06163514 5.0651393
#> 597 4.740045 2.16859102 5.3652514 2.72959715 5.5368126
#> 604 7.830261 0.38533255 0.8633687 1.66508242 Inf
#> 608 6.458822 2.75629900 5.7006541 4.24574070 6.1784483
#> 610 3.062052 3.04378438 6.0023852 1.53742008 5.4386620
#> 611 9.677450 0.25304437 1.2327338 0.63096978 2.7434432
#> 614 10.538488 3.21741886 5.6953260 6.60129169 Inf
#> 620 2.864603 2.80741209 6.0552893 1.04401193 5.0611838
#> 630 7.436280 2.99251277 6.0940883 2.95949542 5.9721761
#> 641 12.014582 0.23273791 0.8898776 2.22713522 Inf
#> 645 11.110192 0.27124408 0.8292255 2.91506706 Inf
#> nboot.successful path_class
#> 1 1000 Lipid metabolism
#> 2 957 Lipid metabolism
#> 5 1000 Biosynthesis of other secondary metabolites
#> 6 1000 Membrane transport
#> 7 1000 Signal transduction
#> 8 648 Lipid metabolism
#> 9 620 Lipid metabolism
#> 10 872 Lipid metabolism
#> 11 909 Lipid metabolism
#> 12 565 Lipid metabolism
#> 13 1000 Lipid metabolism
#> 14 1000 Lipid metabolism
#> 16 1000 Membrane transport
#> 17 1000 Signal transduction
#> 18 718 Amino acid metabolism
#> 19 718 Biosynthesis of other secondary metabolites
#> 20 718 Translation
#> 22 975 Membrane transport
#> 23 975 Signal transduction
#> 25 938 Membrane transport
#> 26 962 Amino acid metabolism
#> 27 962 Metabolism of other amino acids
#> 28 962 Biosynthesis of other secondary metabolites
#> 29 962 Translation
#> 30 962 Membrane transport
#> 31 979 Amino acid metabolism
#> 32 979 Biosynthesis of other secondary metabolites
#> 33 979 Translation
#> 34 979 Membrane transport
#> 35 851 Amino acid metabolism
#> 36 851 Metabolism of other amino acids
#> 37 851 Lipid metabolism
#> 39 851 Energy metabolism
#> 40 851 Translation
#> 41 851 Biosynthesis of other secondary metabolites
#> 42 851 Membrane transport
#> 43 851 Signal transduction
#> 44 1000 Amino acid metabolism
#> 46 859 Energy metabolism
#> 47 859 Signal transduction
#> 48 833 Amino acid metabolism
#> 49 833 Metabolism of other amino acids
#> 50 833 Biosynthesis of other secondary metabolites
#> 51 833 Membrane transport
#> 52 890 Amino acid metabolism
#> 53 890 Metabolism of other amino acids
#> 54 890 Energy metabolism
#> 55 890 Translation
#> 56 890 Membrane transport
#> 57 890 Signal transduction
#> 58 940 Amino acid metabolism
#> 59 1000 Lipid metabolism
#> 60 1000 Amino acid metabolism
#> 61 635 Amino acid metabolism
#> 62 635 Metabolism of other amino acids
#> 63 635 Biosynthesis of other secondary metabolites
#> 64 635 Translation
#> 65 635 Membrane transport
#> 67 820 Amino acid metabolism
#> 68 820 Metabolism of other amino acids
#> 69 820 Biosynthesis of other secondary metabolites
#> 70 820 Membrane transport
#> 71 722 Energy metabolism
#> 72 722 Membrane transport
#> 73 722 Signal transduction
#> 75 953 Amino acid metabolism
#> 76 953 Lipid metabolism
#> 77 953 Energy metabolism
#> 79 962 Amino acid metabolism
#> 80 962 Signal transduction
#> 81 998 Amino acid metabolism
#> 82 998 Metabolism of other amino acids
#> 83 998 Translation
#> 84 998 Membrane transport
#> 86 497 Nucleotide metabolism
#> 87 495 Nucleotide metabolism
#> 103 443 Metabolism of other amino acids
#> 116 353 Nucleotide metabolism
#> 121 483 Nucleotide metabolism
#> 123 304 Membrane transport
#> 125 500 Nucleotide metabolism
#> 131 483 Metabolism of other amino acids
#> 134 405 Metabolism of other amino acids
#> 150 500 Metabolism of other amino acids
#> 157 487 Membrane transport
#> 161 439 Metabolism of terpenoids and polyketides
#> 169 500 Nucleotide metabolism
#> 172 500 Metabolism of other amino acids
#> 178 336 Nucleotide metabolism
#> 180 500 Metabolism of other amino acids
#> 181 500 Nucleotide metabolism
#> 183 478 Nucleotide metabolism
#> 184 500 Metabolism of other amino acids
#> 186 295 Nucleotide metabolism
#> 188 482 Metabolism of terpenoids and polyketides
#> 193 483 Membrane transport
#> 196 498 Transport and catabolism
#> 198 500 Metabolism of terpenoids and polyketides
#> 202 476 Metabolism of other amino acids
#> 228 261 Nucleotide metabolism
#> 233 415 Metabolism of other amino acids
#> 235 480 Nucleotide metabolism
#> 238 336 Metabolism of other amino acids
#> 243 333 Transport and catabolism
#> 245 315 Nucleotide metabolism
#> 246 315 Metabolism of other amino acids
#> 252 500 Metabolism of terpenoids and polyketides
#> 253 499 Nucleotide metabolism
#> 256 479 Membrane transport
#> 266 446 Metabolism of terpenoids and polyketides
#> 275 454 Metabolism of terpenoids and polyketides
#> 276 491 Metabolism of terpenoids and polyketides
#> 291 500 Metabolism of terpenoids and polyketides
#> 293 377 Metabolism of terpenoids and polyketides
#> 301 500 Metabolism of other amino acids
#> 305 275 Metabolism of terpenoids and polyketides
#> 306 500 Metabolism of other amino acids
#> 312 491 Transport and catabolism
#> 327 474 Nucleotide metabolism
#> 338 500 Metabolism of terpenoids and polyketides
#> 341 403 Transport and catabolism
#> 344 469 Nucleotide metabolism
#> 346 500 Metabolism of other amino acids
#> 354 385 Nucleotide metabolism
#> 361 291 Nucleotide metabolism
#> 364 500 Nucleotide metabolism
#> 370 465 Transport and catabolism
#> 372 406 Metabolism of other amino acids
#> 375 330 Transport and catabolism
#> 389 345 Metabolism of other amino acids
#> 399 466 Transport and catabolism
#> 405 500 Metabolism of terpenoids and polyketides
#> 408 303 Metabolism of other amino acids
#> 419 266 Transport and catabolism
#> 430 317 Membrane transport
#> 445 485 Metabolism of other amino acids
#> 458 282 Transport and catabolism
#> 460 500 Membrane transport
#> 475 366 Transport and catabolism
#> 476 473 Metabolism of other amino acids
#> 488 484 Metabolism of other amino acids
#> 490 490 Membrane transport
#> 492 306 Transport and catabolism
#> 494 492 Membrane transport
#> 499 500 Metabolism of other amino acids
#> 501 499 Metabolism of other amino acids
#> 513 309 Membrane transport
#> 519 360 Membrane transport
#> 534 434 Metabolism of other amino acids
#> 540 461 Metabolism of other amino acids
#> 549 483 Metabolism of terpenoids and polyketides
#> 551 464 Membrane transport
#> 552 500 Transport and catabolism
#> 553 500 Metabolism of terpenoids and polyketides
#> 554 266 Nucleotide metabolism
#> 567 268 Transport and catabolism
#> 571 448 Nucleotide metabolism
#> 577 371 Nucleotide metabolism
#> 579 500 Membrane transport
#> 586 493 Transport and catabolism
#> 587 493 Membrane transport
#> 593 343 Metabolism of other amino acids
#> 597 440 Nucleotide metabolism
#> 604 250 Nucleotide metabolism
#> 608 301 Nucleotide metabolism
#> 610 280 Nucleotide metabolism
#> 611 494 Metabolism of terpenoids and polyketides
#> 614 283 Metabolism of other amino acids
#> 620 312 Nucleotide metabolism
#> 630 264 Nucleotide metabolism
#> 641 496 Nucleotide metabolism
#> 645 497 Nucleotide metabolism
#> molecular.level
#> 1 metabolites
#> 2 metabolites
#> 5 metabolites
#> 6 metabolites
#> 7 metabolites
#> 8 metabolites
#> 9 metabolites
#> 10 metabolites
#> 11 metabolites
#> 12 metabolites
#> 13 metabolites
#> 14 metabolites
#> 16 metabolites
#> 17 metabolites
#> 18 metabolites
#> 19 metabolites
#> 20 metabolites
#> 22 metabolites
#> 23 metabolites
#> 25 metabolites
#> 26 metabolites
#> 27 metabolites
#> 28 metabolites
#> 29 metabolites
#> 30 metabolites
#> 31 metabolites
#> 32 metabolites
#> 33 metabolites
#> 34 metabolites
#> 35 metabolites
#> 36 metabolites
#> 37 metabolites
#> 39 metabolites
#> 40 metabolites
#> 41 metabolites
#> 42 metabolites
#> 43 metabolites
#> 44 metabolites
#> 46 metabolites
#> 47 metabolites
#> 48 metabolites
#> 49 metabolites
#> 50 metabolites
#> 51 metabolites
#> 52 metabolites
#> 53 metabolites
#> 54 metabolites
#> 55 metabolites
#> 56 metabolites
#> 57 metabolites
#> 58 metabolites
#> 59 metabolites
#> 60 metabolites
#> 61 metabolites
#> 62 metabolites
#> 63 metabolites
#> 64 metabolites
#> 65 metabolites
#> 67 metabolites
#> 68 metabolites
#> 69 metabolites
#> 70 metabolites
#> 71 metabolites
#> 72 metabolites
#> 73 metabolites
#> 75 metabolites
#> 76 metabolites
#> 77 metabolites
#> 79 metabolites
#> 80 metabolites
#> 81 metabolites
#> 82 metabolites
#> 83 metabolites
#> 84 metabolites
#> 86 contigs
#> 87 contigs
#> 103 contigs
#> 116 contigs
#> 121 contigs
#> 123 contigs
#> 125 contigs
#> 131 contigs
#> 134 contigs
#> 150 contigs
#> 157 contigs
#> 161 contigs
#> 169 contigs
#> 172 contigs
#> 178 contigs
#> 180 contigs
#> 181 contigs
#> 183 contigs
#> 184 contigs
#> 186 contigs
#> 188 contigs
#> 193 contigs
#> 196 contigs
#> 198 contigs
#> 202 contigs
#> 228 contigs
#> 233 contigs
#> 235 contigs
#> 238 contigs
#> 243 contigs
#> 245 contigs
#> 246 contigs
#> 252 contigs
#> 253 contigs
#> 256 contigs
#> 266 contigs
#> 275 contigs
#> 276 contigs
#> 291 contigs
#> 293 contigs
#> 301 contigs
#> 305 contigs
#> 306 contigs
#> 312 contigs
#> 327 contigs
#> 338 contigs
#> 341 contigs
#> 344 contigs
#> 346 contigs
#> 354 contigs
#> 361 contigs
#> 364 contigs
#> 370 contigs
#> 372 contigs
#> 375 contigs
#> 389 contigs
#> 399 contigs
#> 405 contigs
#> 408 contigs
#> 419 contigs
#> 430 contigs
#> 445 contigs
#> 458 contigs
#> 460 contigs
#> 475 contigs
#> 476 contigs
#> 488 contigs
#> 490 contigs
#> 492 contigs
#> 494 contigs
#> 499 contigs
#> 501 contigs
#> 513 contigs
#> 519 contigs
#> 534 contigs
#> 540 contigs
#> 549 contigs
#> 551 contigs
#> 552 contigs
#> 553 contigs
#> 554 contigs
#> 567 contigs
#> 571 contigs
#> 577 contigs
#> 579 contigs
#> 586 contigs
#> 587 contigs
#> 593 contigs
#> 597 contigs
#> 604 contigs
#> 608 contigs
#> 610 contigs
#> 611 contigs
#> 614 contigs
#> 620 contigs
#> 630 contigs
#> 641 contigs
#> 645 contigs
extendedres.3
#> id irow adjpvalue model nbpar b c
#> 1 NAP47_51 46 7.158246e-04 linear 2 -5.600559e-02 NA
#> 2 NAP_2 2 6.232579e-05 exponential 3 4.598124e-01 NA
#> 5 NAP_30 28 1.028343e-05 linear 2 -4.507832e-02 NA
#> 6 NAP_30 28 1.028343e-05 linear 2 -4.507832e-02 NA
#> 7 NAP_30 28 1.028343e-05 linear 2 -4.507832e-02 NA
#> 8 NAP_38 34 1.885047e-03 exponential 3 6.010677e-01 NA
#> 9 NAP_42 38 4.160193e-03 exponential 3 6.721023e-01 NA
#> 10 NAP_52 47 3.920169e-02 log-Gauss-probit 5 4.500859e-01 7.2020026
#> 11 NAP_54 49 3.767103e-04 exponential 3 4.520654e-01 NA
#> 12 NAP_56 51 1.489919e-03 exponential 3 4.392508e-01 NA
#> 13 NAP_58 53 2.834198e-02 linear 2 -1.938127e-02 NA
#> 14 NAP_73 67 3.767103e-04 linear 2 -5.787842e-02 NA
#> 16 NP_121 197 9.889460e-03 linear 2 6.149475e-02 NA
#> 17 NP_121 197 9.889460e-03 linear 2 6.149475e-02 NA
#> 18 NP_129 204 7.286216e-03 exponential 3 7.786029e-03 NA
#> 19 NP_129 204 7.286216e-03 exponential 3 7.786029e-03 NA
#> 20 NP_129 204 7.286216e-03 exponential 3 7.786029e-03 NA
#> 22 NP_140 214 8.550044e-03 Gauss-probit 4 6.955281e-01 4.8357744
#> 23 NP_140 214 8.550044e-03 Gauss-probit 4 6.955281e-01 4.8357744
#> 25 NP_147 221 1.061967e-03 exponential 3 -3.195388e-02 NA
#> 26 NP_33 113 5.599308e-02 log-Gauss-probit 4 6.150170e-01 4.9173448
#> 27 NP_33 113 5.599308e-02 log-Gauss-probit 4 6.150170e-01 4.9173448
#> 28 NP_33 113 5.599308e-02 log-Gauss-probit 4 6.150170e-01 4.9173448
#> 29 NP_33 113 5.599308e-02 log-Gauss-probit 4 6.150170e-01 4.9173448
#> 30 NP_33 113 5.599308e-02 log-Gauss-probit 4 6.150170e-01 4.9173448
#> 31 NP_35 115 3.238559e-03 Gauss-probit 4 1.507579e+00 5.9751431
#> 32 NP_35 115 3.238559e-03 Gauss-probit 4 1.507579e+00 5.9751431
#> 33 NP_35 115 3.238559e-03 Gauss-probit 4 1.507579e+00 5.9751431
#> 34 NP_35 115 3.238559e-03 Gauss-probit 4 1.507579e+00 5.9751431
#> 35 NP_43 123 1.055895e-02 exponential 3 -3.967360e-01 NA
#> 36 NP_43 123 1.055895e-02 exponential 3 -3.967360e-01 NA
#> 37 NP_43 123 1.055895e-02 exponential 3 -3.967360e-01 NA
#> 39 NP_43 123 1.055895e-02 exponential 3 -3.967360e-01 NA
#> 40 NP_43 123 1.055895e-02 exponential 3 -3.967360e-01 NA
#> 41 NP_43 123 1.055895e-02 exponential 3 -3.967360e-01 NA
#> 42 NP_43 123 1.055895e-02 exponential 3 -3.967360e-01 NA
#> 43 NP_43 123 1.055895e-02 exponential 3 -3.967360e-01 NA
#> 44 NP_55 135 1.119380e-06 Gauss-probit 4 2.325273e+00 4.4698821
#> 46 NP_56 136 5.289310e-03 exponential 3 -4.360528e-03 NA
#> 47 NP_56 136 5.289310e-03 exponential 3 -4.360528e-03 NA
#> 48 NP_59 139 1.293440e-02 exponential 3 -3.667815e-01 NA
#> 49 NP_59 139 1.293440e-02 exponential 3 -3.667815e-01 NA
#> 50 NP_59 139 1.293440e-02 exponential 3 -3.667815e-01 NA
#> 51 NP_59 139 1.293440e-02 exponential 3 -3.667815e-01 NA
#> 52 NP_60 140 6.939560e-03 exponential 3 -5.150005e-01 NA
#> 53 NP_60 140 6.939560e-03 exponential 3 -5.150005e-01 NA
#> 54 NP_60 140 6.939560e-03 exponential 3 -5.150005e-01 NA
#> 55 NP_60 140 6.939560e-03 exponential 3 -5.150005e-01 NA
#> 56 NP_60 140 6.939560e-03 exponential 3 -5.150005e-01 NA
#> 57 NP_60 140 6.939560e-03 exponential 3 -5.150005e-01 NA
#> 58 NP_68 147 3.449660e-04 Gauss-probit 4 2.444950e+00 5.0555770
#> 59 NP_69 148 1.156302e-03 linear 2 -5.076324e-02 NA
#> 60 NP_69 148 1.156302e-03 linear 2 -5.076324e-02 NA
#> 61 NP_74 153 7.029527e-02 log-Gauss-probit 5 2.715410e-01 4.8474027
#> 62 NP_74 153 7.029527e-02 log-Gauss-probit 5 2.715410e-01 4.8474027
#> 63 NP_74 153 7.029527e-02 log-Gauss-probit 5 2.715410e-01 4.8474027
#> 64 NP_74 153 7.029527e-02 log-Gauss-probit 5 2.715410e-01 4.8474027
#> 65 NP_74 153 7.029527e-02 log-Gauss-probit 5 2.715410e-01 4.8474027
#> 67 NP_90 168 3.072572e-02 exponential 3 -2.686242e-01 NA
#> 68 NP_90 168 3.072572e-02 exponential 3 -2.686242e-01 NA
#> 69 NP_90 168 3.072572e-02 exponential 3 -2.686242e-01 NA
#> 70 NP_90 168 3.072572e-02 exponential 3 -2.686242e-01 NA
#> 71 NP_92 170 2.278810e-03 exponential 3 -4.595689e-03 NA
#> 72 NP_92 170 2.278810e-03 exponential 3 -4.595689e-03 NA
#> 73 NP_92 170 2.278810e-03 exponential 3 -4.595689e-03 NA
#> 75 NP_94 172 1.798752e-05 Gauss-probit 4 3.016576e+00 4.8628416
#> 76 NP_94 172 1.798752e-05 Gauss-probit 4 3.016576e+00 4.8628416
#> 77 NP_94 172 1.798752e-05 Gauss-probit 4 3.016576e+00 4.8628416
#> 79 NP_96 174 5.128859e-04 Gauss-probit 4 2.409906e+00 5.2165398
#> 80 NP_96 174 5.128859e-04 Gauss-probit 4 2.409906e+00 5.2165398
#> 81 NP_98 176 1.544866e-04 Gauss-probit 4 1.880325e+00 5.9083172
#> 82 NP_98 176 1.544866e-04 Gauss-probit 4 1.880325e+00 5.9083172
#> 83 NP_98 176 1.544866e-04 Gauss-probit 4 1.880325e+00 5.9083172
#> 84 NP_98 176 1.544866e-04 Gauss-probit 4 1.880325e+00 5.9083172
#> 85 c00134 2802 2.762369e-04 linear 2 -2.179358e-01 NA
#> 86 c00276 39331 9.401685e-07 exponential 3 1.499436e+00 NA
#> 87 c00281 41217 2.894669e-06 exponential 3 1.408172e+00 NA
#> 88 c00322 52577 1.875371e-03 exponential 3 1.805394e-03 NA
#> 91 c00398 54508 1.668205e-05 linear 2 -1.405762e-01 NA
#> 95 c00628 61115 5.388575e-07 exponential 3 4.923794e-02 NA
#> 99 c00847 5295 9.884514e-03 linear 2 -1.266449e-01 NA
#> 102 c00941 7809 4.335219e-03 linear 2 -7.650138e-02 NA
#> 103 c00973 8280 6.803372e-03 exponential 3 -7.727847e-01 NA
#> 104 c00973 8280 6.803372e-03 exponential 3 -7.727847e-01 NA
#> 106 c01041 9614 2.607961e-04 exponential 3 1.528981e+00 NA
#> 109 c01117 12251 2.634664e-03 linear 2 1.543520e-01 NA
#> 110 c01133 12630 4.922435e-03 Gauss-probit 4 2.075770e+00 9.8438541
#> 111 c01155 13129 6.385399e-03 Gauss-probit 4 1.840019e+00 6.1917399
#> 115 c01250 16689 1.585374e-05 linear 2 4.316514e-01 NA
#> 116 c01318 18587 9.761656e-03 exponential 3 -2.541336e-02 NA
#> 117 c01370 20546 2.292186e-03 linear 2 9.464515e-02 NA
#> 120 c01438 22651 1.939187e-04 Gauss-probit 4 1.764551e+00 10.9277844
#> 121 c01442 22830 8.398538e-07 exponential 3 -4.594974e-01 NA
#> 122 c01447 23029 4.281444e-10 exponential 3 -1.254855e+00 NA
#> 123 c01449 23118 3.283441e-05 Gauss-probit 4 4.461301e+00 3.6813967
#> 125 c01613 28185 5.354723e-03 linear 2 7.991209e-02 NA
#> 127 c01616 28258 1.619046e-06 exponential 3 3.240702e-02 NA
#> 128 c01629 28787 2.064119e-03 Gauss-probit 5 4.505403e+00 14.4444824
#> 129 c01643 29361 6.042318e-05 exponential 3 1.083425e-03 NA
#> 131 c01645 29447 4.923790e-08 Gauss-probit 4 2.701659e+00 3.1591011
#> 132 c01645 29447 4.923790e-08 Gauss-probit 4 2.701659e+00 3.1591011
#> 133 c01739 32213 2.428740e-04 log-Gauss-probit 4 7.597910e-01 8.6772914
#> 134 c01924 38335 2.843216e-04 Gauss-probit 4 2.446537e+00 11.8943363
#> 137 c01952 39007 6.650930e-03 exponential 3 1.162982e-04 NA
#> 140 c02004 40603 1.872409e-03 linear 2 9.583803e-02 NA
#> 141 c02010 40836 3.289575e-06 Gauss-probit 4 2.473829e+00 11.5666888
#> 142 c02083 42840 3.959555e-04 linear 2 -1.362122e-01 NA
#> 143 c02160 45443 1.197938e-07 exponential 3 4.291368e-01 NA
#> 147 c02486 52753 2.171026e-05 exponential 3 -6.980028e-03 NA
#> 148 c02572 52958 4.595821e-03 linear 2 1.555437e-01 NA
#> 149 c02651 53192 2.080403e-04 exponential 3 4.499442e-02 NA
#> 150 c02837 53881 7.971049e-04 linear 2 1.575210e-01 NA
#> 152 c02877 53976 2.432349e-03 linear 2 -1.413708e-01 NA
#> 156 c02955 54166 8.455883e-03 linear 2 2.166378e-01 NA
#> 157 c02964 54187 3.684145e-04 exponential 3 -1.686471e+00 NA
#> 158 c03046 54476 2.875687e-05 linear 2 -2.051304e-01 NA
#> 161 c03088 54664 3.084821e-03 Gauss-probit 4 2.148866e+00 11.5968176
#> 164 c03134 54867 5.690878e-04 Gauss-probit 4 2.175505e+00 15.6410941
#> 165 c03146 54920 1.245703e-05 linear 2 -4.288489e-01 NA
#> 166 c03147 54922 4.186163e-03 log-Gauss-probit 5 7.895259e-01 8.1665963
#> 167 c03150 54936 3.566795e-04 linear 2 1.084285e-01 NA
#> 169 c03232 55298 2.548714e-06 linear 2 2.143541e-01 NA
#> 170 c03258 55367 4.473786e-04 Gauss-probit 4 1.798037e+00 8.9781782
#> 171 c03284 55434 1.365366e-03 linear 2 -3.672796e-01 NA
#> 172 c03284 55434 1.365366e-03 linear 2 -3.672796e-01 NA
#> 174 c03319 55519 1.104637e-04 Gauss-probit 4 2.837930e+00 10.6370079
#> 178 c03358 55610 1.361311e-03 Gauss-probit 4 2.732236e+00 10.2055856
#> 179 c03392 55694 7.499082e-05 linear 2 -1.334615e-01 NA
#> 180 c03440 55810 2.679169e-03 linear 2 -1.138782e-01 NA
#> 181 c03440 55810 2.679169e-03 linear 2 -1.138782e-01 NA
#> 183 c03526 56019 2.223268e-04 exponential 3 -1.249273e+00 NA
#> 184 c03540 56053 3.430925e-03 linear 2 1.965028e-01 NA
#> 185 c03540 56053 3.430925e-03 linear 2 1.965028e-01 NA
#> 186 c03544 56063 6.386500e-03 exponential 3 -1.417594e-03 NA
#> 188 c03571 56127 9.413418e-03 log-Gauss-probit 4 5.983299e-01 4.1680058
#> 190 c03586 56164 3.854715e-03 Gauss-probit 4 2.552963e+00 11.4923353
#> 193 c03661 56344 7.587641e-03 log-Gauss-probit 4 6.923540e-01 3.0415932
#> 196 c03724 56499 4.297972e-05 log-Gauss-probit 4 5.840913e-01 12.2786104
#> 197 c03745 56548 9.243140e-03 linear 2 -1.172201e-01 NA
#> 198 c03760 56585 9.777594e-03 linear 2 -1.351428e-01 NA
#> 199 c03761 56586 4.702449e-03 linear 2 1.262182e-01 NA
#> 200 c03761 56586 4.702449e-03 linear 2 1.262182e-01 NA
#> 201 c03784 56645 5.006652e-03 log-Gauss-probit 4 6.898228e-01 9.6540953
#> 202 c03784 56645 5.006652e-03 log-Gauss-probit 4 6.898228e-01 9.6540953
#> 203 c03784 56645 5.006652e-03 log-Gauss-probit 4 6.898228e-01 9.6540953
#> 205 c03801 56685 2.570986e-03 log-Gauss-probit 4 9.764227e-01 13.7221921
#> 207 c03925 57063 5.381358e-04 Gauss-probit 5 3.210268e+00 2.3821872
#> 208 c03931 57089 2.851070e-03 Gauss-probit 4 6.126334e+00 0.7526332
#> 211 c03948 57165 6.052153e-03 log-Gauss-probit 4 7.690806e-01 11.6144651
#> 214 c03950 57172 5.750220e-03 log-Gauss-probit 4 8.114609e-01 7.7688166
#> 215 c03979 57294 3.113834e-03 exponential 3 -4.177525e-03 NA
#> 217 c04048 57585 3.263192e-03 linear 2 -1.211670e-01 NA
#> 218 c04049 57589 4.043602e-04 log-Gauss-probit 4 7.902587e-01 13.3308965
#> 220 c04113 57859 1.165972e-04 linear 2 3.130549e-01 NA
#> 221 c04117 57876 3.652581e-04 Gauss-probit 5 6.914901e+00 15.3546350
#> 222 c04129 57927 2.456812e-03 linear 2 -1.106194e-01 NA
#> 225 c04240 58395 2.561139e-03 exponential 3 -1.404086e-03 NA
#> 228 c04342 58826 1.308910e-04 Gauss-probit 4 7.197426e+00 7.7233560
#> 229 c04391 59033 3.624150e-04 linear 2 -1.363145e-01 NA
#> 232 c04434 59217 7.874407e-03 Gauss-probit 5 3.908298e+00 2.8969340
#> 233 c04434 59217 7.874407e-03 Gauss-probit 5 3.908298e+00 2.8969340
#> 235 c04513 59551 9.612303e-03 log-Gauss-probit 4 7.506663e-01 11.8496013
#> 236 c04527 59607 1.222252e-03 exponential 3 4.226728e-04 NA
#> 237 c04553 59682 2.052935e-04 exponential 3 -6.566892e-03 NA
#> 238 c04553 59682 2.052935e-04 exponential 3 -6.566892e-03 NA
#> 240 c04553 59682 2.052935e-04 exponential 3 -6.566892e-03 NA
#> 242 c04609 59807 6.407706e-03 linear 2 2.392413e-01 NA
#> 243 c04613 59817 2.581335e-03 Gauss-probit 4 3.032023e+00 11.9083638
#> 245 c04619 59830 8.483282e-03 exponential 3 2.328075e-02 NA
#> 246 c04619 59830 8.483282e-03 exponential 3 2.328075e-02 NA
#> 248 c04625 59843 3.759793e-03 linear 2 1.791830e-01 NA
#> 251 c04647 59892 1.704160e-03 linear 2 9.344909e-02 NA
#> 252 c04647 59892 1.704160e-03 linear 2 9.344909e-02 NA
#> 253 c04655 59910 4.758216e-05 log-Gauss-probit 4 7.297684e-01 11.5528527
#> 255 c04667 59936 7.175098e-04 exponential 3 3.727143e-03 NA
#> 256 c04683 59973 5.823021e-04 exponential 3 8.026136e-01 NA
#> 257 c04702 60014 1.150256e-05 exponential 3 -8.958404e-04 NA
#> 259 c04721 60057 1.935071e-03 linear 2 8.621251e-02 NA
#> 260 c04785 60199 2.947658e-03 exponential 3 1.554432e+00 NA
#> 263 c04803 60240 8.645920e-03 linear 2 1.054475e-01 NA
#> 265 c04841 60324 1.209154e-05 linear 2 1.327705e-01 NA
#> 266 c04883 60416 7.479393e-03 exponential 3 1.701162e+00 NA
#> 270 c04981 60634 1.604178e-03 Gauss-probit 5 6.073747e+00 15.5258805
#> 272 c04990 60654 1.290312e-03 linear 2 2.168492e-01 NA
#> 274 c05067 60825 3.429820e-03 exponential 3 4.733132e-01 NA
#> 275 c05081 60856 1.998628e-04 exponential 3 4.406436e-02 NA
#> 276 c05100 60898 4.685588e-05 exponential 3 1.626252e+00 NA
#> 277 c05122 60947 5.831294e-03 linear 2 1.017186e-01 NA
#> 279 c05183 61177 7.470683e-05 exponential 3 -6.029337e-03 NA
#> 280 c05186 61192 9.977277e-06 exponential 3 -7.710575e-03 NA
#> 282 c05207 61277 4.276674e-03 exponential 3 1.045991e+00 NA
#> 285 c05269 10 9.270577e-05 Gauss-probit 4 2.656350e+00 9.3830167
#> 286 c05284 73 3.841471e-03 linear 2 2.319088e-01 NA
#> 287 c05305 159 1.899100e-03 linear 2 -1.337043e-01 NA
#> 288 c05305 159 1.899100e-03 linear 2 -1.337043e-01 NA
#> 291 c05326 247 4.812259e-03 linear 2 -1.628214e-01 NA
#> 293 c05358 382 7.443184e-03 exponential 3 2.090616e-02 NA
#> 295 c05377 463 9.290871e-03 linear 2 -9.062729e-02 NA
#> 296 c05385 497 5.701646e-05 exponential 3 -1.697255e-01 NA
#> 297 c05401 565 9.242438e-03 linear 2 -8.645475e-02 NA
#> 298 c05401 565 9.242438e-03 linear 2 -8.645475e-02 NA
#> 299 c05417 633 9.280962e-05 exponential 3 -3.112237e-03 NA
#> 301 c05581 1323 4.187799e-03 linear 2 1.169616e-01 NA
#> 303 c05589 1360 8.134238e-03 linear 2 -6.289437e-02 NA
#> 305 c05641 1567 2.764636e-03 exponential 3 -8.701043e-04 NA
#> 306 c05645 1576 7.113588e-04 linear 2 -1.348525e-01 NA
#> 307 c05645 1576 7.113588e-04 linear 2 -1.348525e-01 NA
#> 308 c05698 1694 3.957047e-04 Gauss-probit 4 1.079324e+00 7.5677415
#> 312 c05903 2148 4.374165e-03 log-Gauss-probit 4 7.532079e-01 12.1685832
#> 314 c05923 2195 1.058132e-05 exponential 3 -2.107493e+00 NA
#> 317 c05946 2245 7.079721e-03 Gauss-probit 4 2.368354e+00 11.2206087
#> 320 c05970 2298 2.347871e-03 Gauss-probit 5 3.471728e+00 3.6603885
#> 321 c05970 2298 2.347871e-03 Gauss-probit 5 3.471728e+00 3.6603885
#> 322 c05996 2356 3.511114e-04 exponential 3 7.501887e-01 NA
#> 327 c06059 2495 1.623735e-03 exponential 3 9.866188e-01 NA
#> 328 c06077 2535 2.710065e-04 exponential 3 3.802400e-02 NA
#> 330 c06085 2553 1.680296e-05 exponential 3 -2.430678e-03 NA
#> 331 c06133 2659 8.340750e-07 linear 2 1.581037e-01 NA
#> 332 c06133 2659 8.340750e-07 linear 2 1.581037e-01 NA
#> 333 c06142 2694 3.174858e-04 Gauss-probit 4 1.565882e+00 7.7633888
#> 336 c06164 2784 2.112917e-04 Gauss-probit 5 3.551701e+00 6.6100833
#> 338 c06208 2970 8.742721e-04 linear 2 1.440101e-01 NA
#> 339 c06258 3180 3.342031e-03 log-Gauss-probit 4 7.135024e-01 2.8818475
#> 340 c06303 3372 1.986352e-04 Gauss-probit 4 2.664174e+00 5.4338860
#> 341 c06313 3413 6.508671e-04 Gauss-probit 4 2.523979e+00 6.3598648
#> 342 c06429 3686 7.498489e-03 linear 2 2.843827e-01 NA
#> 343 c06440 3711 4.047233e-03 Gauss-probit 4 1.930519e+00 11.5544508
#> 344 c06518 3887 4.434225e-04 exponential 3 1.282679e+00 NA
#> 346 c06548 3976 1.118557e-04 linear 2 2.267280e-01 NA
#> 350 c06637 4352 4.977792e-04 exponential 3 2.940553e-02 NA
#> 354 c06762 4630 1.129124e-03 exponential 3 2.579227e-02 NA
#> 357 c06876 4888 7.528161e-08 exponential 3 8.665206e-02 NA
#> 358 c06880 4897 2.817783e-08 exponential 3 -1.170819e-01 NA
#> 360 c06880 4897 2.817783e-08 exponential 3 -1.170819e-01 NA
#> 361 c06881 4900 9.898720e-04 exponential 3 3.893310e-04 NA
#> 362 c06884 4906 9.612303e-03 log-Gauss-probit 4 6.237164e-01 11.5919778
#> 364 c06943 5037 4.856986e-04 linear 2 1.205147e-01 NA
#> 365 c06962 5080 9.268299e-03 linear 2 -7.266508e-02 NA
#> 368 c07027 5226 4.204526e-05 exponential 3 -1.818945e-02 NA
#> 370 c07072 5328 9.285630e-04 exponential 3 1.750908e+00 NA
#> 372 c07118 5428 1.069214e-06 Gauss-probit 4 3.201018e+00 13.8162214
#> 375 c07206 5768 1.331320e-04 exponential 3 1.150705e-02 NA
#> 376 c07232 5877 3.268967e-03 linear 2 -1.649789e-01 NA
#> 378 c07259 5994 8.634188e-03 exponential 3 -2.238603e-03 NA
#> 379 c07261 6000 9.973687e-03 exponential 3 -6.624269e-01 NA
#> 380 c07263 6010 6.171276e-03 exponential 3 -3.039276e-04 NA
#> 384 c07386 6531 6.587401e-09 exponential 3 1.261410e+00 NA
#> 386 c07492 6981 1.040808e-03 linear 2 8.280517e-02 NA
#> 387 c07492 6981 1.040808e-03 linear 2 8.280517e-02 NA
#> 389 c07529 7138 7.515694e-04 exponential 3 2.811126e-02 NA
#> 391 c07550 7226 3.659885e-03 linear 2 -1.065091e-01 NA
#> 394 c07703 7740 5.335570e-05 exponential 3 -9.916504e-02 NA
#> 395 c07715 7768 1.877882e-09 exponential 3 2.083659e-01 NA
#> 397 c07797 7953 9.102023e-03 Gauss-probit 5 5.456328e+00 11.4303586
#> 399 c07859 8092 1.007072e-03 Gauss-probit 4 2.145963e+00 7.6939508
#> 401 c07957 8310 1.752806e-04 Gauss-probit 4 2.462513e+00 8.3205953
#> 404 c08065 8553 3.401488e-04 exponential 3 -1.628308e-02 NA
#> 405 c08131 8701 1.673911e-03 linear 2 1.826552e-01 NA
#> 408 c08241 8948 1.777483e-04 Gauss-probit 4 4.306086e+00 12.7509474
#> 409 c08251 8970 3.556009e-07 exponential 3 3.107220e-01 NA
#> 410 c08284 9045 9.182573e-05 exponential 3 -6.347284e-03 NA
#> 411 c08296 9071 6.435369e-04 Gauss-probit 4 1.769636e+00 14.5173033
#> 414 c08408 9323 1.435436e-03 linear 2 -1.328818e-01 NA
#> 416 c08437 9388 2.774965e-03 Gauss-probit 4 2.500577e+00 15.2527459
#> 419 c08466 9451 1.593456e-04 exponential 3 8.887870e-04 NA
#> 420 c08470 9462 9.083535e-04 exponential 3 2.790157e-03 NA
#> 422 c08630 9820 1.427514e-05 linear 2 5.428566e-01 NA
#> 427 c08733 10248 3.326616e-05 Gauss-probit 4 3.137538e+00 9.9736456
#> 428 c08733 10248 3.326616e-05 Gauss-probit 4 3.137538e+00 9.9736456
#> 430 c08762 10368 1.641885e-03 exponential 3 3.093377e-03 NA
#> 433 c08806 10557 2.319865e-04 exponential 3 -1.396020e-03 NA
#> 437 c08946 11149 1.361378e-03 linear 2 -1.268688e-01 NA
#> 439 c08979 11300 3.707499e-03 exponential 3 1.744083e-03 NA
#> 441 c08979 11300 3.707499e-03 exponential 3 1.744083e-03 NA
#> 443 c09104 11625 8.299711e-04 linear 2 2.921985e-01 NA
#> 445 c09125 11677 1.569172e-03 exponential 3 8.284746e-01 NA
#> 447 c09171 11859 6.956216e-04 exponential 3 4.862071e-03 NA
#> 450 c09314 12339 1.109864e-06 linear 2 -1.887393e-01 NA
#> 453 c09437 12639 3.571289e-04 Gauss-probit 4 1.928769e+00 11.2188707
#> 454 c09437 12639 3.571289e-04 Gauss-probit 4 1.928769e+00 11.2188707
#> 457 c09562 12942 4.373374e-03 exponential 3 -2.161149e-03 NA
#> 458 c09562 12942 4.373374e-03 exponential 3 -2.161149e-03 NA
#> 460 c09598 13030 2.362131e-03 linear 2 -2.586441e-01 NA
#> 461 c09599 13034 5.092176e-03 linear 2 9.794904e-02 NA
#> 464 c09662 13187 7.680486e-03 linear 2 -1.015681e-01 NA
#> 465 c09664 13193 4.054480e-04 exponential 3 3.206674e-02 NA
#> 466 c09667 13199 4.349398e-03 exponential 3 -3.552147e-02 NA
#> 467 c09730 13354 2.336694e-03 exponential 3 -7.259535e-04 NA
#> 468 c09850 13648 2.372640e-05 exponential 3 -9.250649e-05 NA
#> 469 c09874 13707 9.527637e-03 log-Gauss-probit 4 6.223239e-01 6.1391526
#> 470 c09918 13875 8.329706e-03 linear 2 7.343326e-02 NA
#> 471 c09971 14113 5.839468e-03 exponential 3 -3.989293e-02 NA
#> 473 c10039 14416 8.764282e-04 linear 2 2.073703e-01 NA
#> 475 c10057 14495 3.390469e-03 exponential 3 2.415379e-02 NA
#> 476 c10066 14533 1.347692e-03 exponential 3 -9.389332e-01 NA
#> 479 c10088 14635 3.780459e-03 linear 2 -8.624646e-02 NA
#> 480 c10088 14635 3.780459e-03 linear 2 -8.624646e-02 NA
#> 481 c10125 14799 1.608679e-03 Gauss-probit 4 2.867974e+00 11.7480225
#> 482 c10155 14932 5.257232e-06 exponential 3 2.863366e-01 NA
#> 483 c10163 14967 4.667371e-03 linear 2 1.195824e-01 NA
#> 486 c10229 15259 6.113675e-04 Gauss-probit 4 2.711076e+00 12.5673623
#> 488 c10238 15302 1.228501e-03 exponential 3 -1.793775e+00 NA
#> 490 c10269 15440 7.296658e-05 exponential 3 1.592475e+00 NA
#> 491 c10269 15440 7.296658e-05 exponential 3 1.592475e+00 NA
#> 492 c10302 15585 4.225116e-03 exponential 3 6.617470e-03 NA
#> 493 c10304 15596 2.269389e-03 linear 2 -1.056212e-01 NA
#> 494 c10311 15626 1.016928e-03 log-Gauss-probit 4 7.845651e-01 3.5216604
#> 495 c10345 15778 3.099644e-03 log-Gauss-probit 4 8.904332e-01 11.1141357
#> 496 c10386 15957 3.625125e-03 linear 2 2.199089e-01 NA
#> 498 c10413 16075 3.498590e-04 linear 2 1.135548e-01 NA
#> 499 c10413 16075 3.498590e-04 linear 2 1.135548e-01 NA
#> 500 c10419 16107 4.121617e-03 Gauss-probit 4 5.137237e+00 8.8683481
#> 501 c10499 16461 1.256216e-07 Gauss-probit 4 2.062548e+00 11.8312797
#> 502 c10511 16512 7.145948e-03 linear 2 1.747655e-01 NA
#> 504 c10532 16606 7.887575e-04 exponential 3 8.633562e-02 NA
#> 505 c10607 16795 2.129357e-04 Gauss-probit 4 2.821383e+00 14.3133366
#> 509 c10754 17155 5.833637e-04 exponential 3 -2.995883e-04 NA
#> 513 c10934 17597 5.753046e-03 exponential 3 7.891420e-03 NA
#> 514 c10934 17597 5.753046e-03 exponential 3 7.891420e-03 NA
#> 515 c10976 17699 8.637145e-03 linear 2 2.195307e-01 NA
#> 517 c11168 18235 1.949306e-03 exponential 3 2.214326e-03 NA
#> 518 c11210 18416 7.958846e-04 log-Gauss-probit 4 1.054030e+00 7.7051920
#> 519 c11233 18523 4.606893e-03 exponential 3 1.934382e-02 NA
#> 520 c11334 18970 8.791723e-04 exponential 3 1.020052e-02 NA
#> 521 c11382 19182 4.750777e-03 Gauss-probit 4 1.103583e+00 3.2368169
#> 522 c11397 19250 3.445348e-03 exponential 3 2.401132e-04 NA
#> 523 c11456 19511 3.753562e-09 exponential 3 -1.853928e-01 NA
#> 525 c11462 19537 9.770964e-03 log-Gauss-probit 4 7.191494e-01 3.3180250
#> 526 c11480 19620 5.163659e-03 linear 2 1.902326e-01 NA
#> 527 c11530 19841 8.558466e-03 log-Gauss-probit 4 1.099263e+00 5.8568962
#> 528 c11558 19962 5.915481e-04 linear 2 1.224014e-01 NA
#> 531 c11630 20284 5.955893e-06 exponential 3 -3.666783e-03 NA
#> 534 c11906 20969 9.654346e-04 Gauss-probit 4 2.292477e+00 11.7948434
#> 535 c11942 21057 4.470344e-03 exponential 3 1.593425e-03 NA
#> 540 c12260 22081 8.245828e-06 exponential 3 1.353701e-01 NA
#> 542 c12281 22175 4.161221e-03 log-Gauss-probit 4 6.948815e-01 4.9989594
#> 543 c12403 22716 3.760750e-03 Gauss-probit 4 2.214023e+00 14.5772553
#> 544 c12506 23173 7.671714e-05 exponential 3 -2.509837e-03 NA
#> 546 c12544 23346 1.722105e-03 linear 2 1.861575e-01 NA
#> 547 c12572 23468 6.773752e-04 exponential 3 1.083771e-02 NA
#> 549 c12576 23487 9.267247e-03 log-Gauss-probit 4 1.021352e+00 4.4432065
#> 551 c12705 23819 9.933717e-03 exponential 3 -1.751567e+00 NA
#> 552 c12781 24007 1.047802e-03 linear 2 4.825735e-01 NA
#> 553 c12927 24362 7.217499e-04 linear 2 3.109088e-01 NA
#> 554 c13186 25095 5.598806e-03 exponential 3 -3.355018e-04 NA
#> 556 c13243 25350 9.139692e-03 exponential 3 -6.088131e-01 NA
#> 558 c13270 25470 5.267827e-03 linear 2 1.432054e-01 NA
#> 559 c13277 25500 2.669356e-04 Gauss-probit 4 2.594431e+00 10.6317327
#> 561 c13297 25589 4.131109e-04 exponential 3 -6.832444e-03 NA
#> 562 c13297 25589 4.131109e-04 exponential 3 -6.832444e-03 NA
#> 565 c13517 26538 8.227406e-04 exponential 3 7.571071e-01 NA
#> 566 c13525 26574 3.237246e-03 exponential 3 -1.128907e+00 NA
#> 567 c13542 26650 7.852988e-04 exponential 3 2.600645e-03 NA
#> 569 c13574 26794 1.921858e-03 linear 2 2.317066e-01 NA
#> 571 c13596 26891 2.014638e-03 Gauss-probit 4 2.094345e+00 2.6618273
#> 572 c13598 26896 4.965270e-06 linear 2 2.958897e-01 NA
#> 573 c13605 26931 1.210717e-03 linear 2 1.951699e-01 NA
#> 574 c13674 27161 2.365368e-03 exponential 3 -6.072924e-01 NA
#> 575 c13764 27378 4.475730e-03 exponential 3 5.093825e-03 NA
#> 577 c13825 27530 7.036682e-03 Gauss-probit 4 2.375172e+00 6.8208872
#> 579 c14005 27954 6.155794e-03 linear 2 4.216192e-01 NA
#> 580 c14005 27954 6.155794e-03 linear 2 4.216192e-01 NA
#> 581 c14237 28676 1.538888e-04 log-Gauss-probit 4 7.541007e-01 7.8537519
#> 583 c14363 29213 1.557209e-05 exponential 3 2.253639e-02 NA
#> 585 c14423 29467 4.543972e-03 exponential 3 -1.604455e-02 NA
#> 586 c14431 29501 2.619248e-03 log-Gauss-probit 4 7.955319e-01 5.9474858
#> 587 c14431 29501 2.619248e-03 log-Gauss-probit 4 7.955319e-01 5.9474858
#> 588 c14618 30291 2.083712e-03 Gauss-probit 5 3.713824e+00 16.5075720
#> 590 c15068 31336 1.093408e-04 linear 2 5.374968e-01 NA
#> 591 c15455 32647 2.235788e-06 exponential 3 9.915016e-03 NA
#> 593 c15572 33143 7.075275e-03 exponential 3 4.643676e-02 NA
#> 595 c15719 33766 3.883724e-04 linear 2 -1.905828e-01 NA
#> 596 c15843 34290 1.405103e-05 Gauss-probit 4 3.067016e+00 2.6582772
#> 597 c15942 34598 4.718990e-05 exponential 3 -4.450675e-02 NA
#> 598 c15975 34674 3.356863e-03 exponential 3 -8.170672e-01 NA
#> 599 c15975 34674 3.356863e-03 exponential 3 -8.170672e-01 NA
#> 603 c16742 36804 2.781433e-04 linear 2 3.848784e-01 NA
#> 604 c16973 37787 2.825599e-04 Gauss-probit 4 8.319118e+00 -4.6684484
#> 606 c17138 38478 7.921107e-04 linear 2 1.967745e-01 NA
#> 608 c17497 39284 3.028115e-04 exponential 3 -2.312831e-03 NA
#> 610 c17517 39327 2.461490e-03 exponential 3 5.997141e-04 NA
#> 611 c17694 39843 2.019227e-05 exponential 3 -1.826364e+00 NA
#> 612 c17823 40393 6.238172e-04 exponential 3 6.779690e-04 NA
#> 614 c17823 40393 6.238172e-04 exponential 3 6.779690e-04 NA
#> 615 c17823 40393 6.238172e-04 exponential 3 6.779690e-04 NA
#> 616 c18178 41738 1.357329e-03 linear 2 1.677462e-01 NA
#> 617 c18301 42015 1.848281e-06 exponential 3 1.568251e-01 NA
#> 618 c18306 42025 7.861070e-04 Gauss-probit 4 1.686325e+00 6.0977853
#> 619 c18306 42025 7.861070e-04 Gauss-probit 4 1.686325e+00 6.0977853
#> 620 c18315 42046 3.162528e-03 exponential 3 3.707484e-03 NA
#> 623 c18540 42550 4.541751e-03 log-Gauss-probit 5 2.314017e-01 3.5945632
#> 624 c18686 42975 4.956775e-03 linear 2 3.126935e-01 NA
#> 626 c18794 43434 3.967972e-04 exponential 3 1.595602e-01 NA
#> 630 c19738 46332 6.573236e-03 exponential 3 -2.344367e-04 NA
#> 631 c20526 48892 1.461304e-06 exponential 3 -3.976049e-02 NA
#> 634 c20668 49255 2.423243e-04 linear 2 2.041387e-01 NA
#> 641 c21327 51498 7.255831e-06 exponential 3 1.489682e+00 NA
#> 642 c21366 51578 5.125046e-03 exponential 3 -6.140642e-01 NA
#> 643 c21438 51724 9.104359e-03 linear 2 1.122721e-01 NA
#> 644 c21442 51732 7.480590e-05 exponential 3 4.885340e-04 NA
#> 645 c21452 51752 7.810285e-07 exponential 3 1.427234e+00 NA
#> 646 c21521 51888 5.591900e-05 exponential 3 4.662577e-04 NA
#> d e f SDres typology trend y0
#> 1 7.3435706 NA NA 0.12454183 L.dec dec 7.343571
#> 2 5.9418958 -1.6479584 NA 0.12604568 E.dec.convex dec 5.941896
#> 5 7.8591094 NA NA 0.05203245 L.dec dec 7.859109
#> 6 7.8591094 NA NA 0.05203245 L.dec dec 7.859109
#> 7 7.8591094 NA NA 0.05203245 L.dec dec 7.859109
#> 8 6.8579095 -0.3213163 NA 0.23376392 E.dec.convex dec 6.857909
#> 9 6.2092863 -0.3230281 NA 0.28968463 E.dec.convex dec 6.209286
#> 10 7.2888833 1.3087220 -0.1436781 0.07085857 lGP.U U 7.288883
#> 11 6.8685231 -0.6254549 NA 0.15031166 E.dec.convex dec 6.868523
#> 12 7.5584812 -0.2649798 NA 0.15353807 E.dec.convex dec 7.558481
#> 13 6.4674657 NA NA 0.05769085 L.dec dec 6.467466
#> 14 5.7383018 NA NA 0.11726837 L.dec dec 5.738302
#> 16 5.3301711 NA NA 0.18706049 L.inc inc 5.330171
#> 17 5.3301711 NA NA 0.18706049 L.inc inc 5.330171
#> 18 4.9684754 2.0243885 NA 0.14303183 E.inc.convex inc 4.968475
#> 19 4.9684754 2.0243885 NA 0.14303183 E.inc.convex inc 4.968475
#> 20 4.9684754 2.0243885 NA 0.14303183 E.inc.convex inc 4.968475
#> 22 4.8357744 1.4069463 0.2455556 0.10615565 GP.bell bell 4.867514
#> 23 4.8357744 1.4069463 0.2455556 0.10615565 GP.bell bell 4.867514
#> 25 5.4023281 3.3895616 NA 0.06744390 E.dec.concave dec 5.402328
#> 26 4.9173448 3.2236437 0.4530573 0.21991569 lGP.bell bell 4.917345
#> 27 4.9173448 3.2236437 0.4530573 0.21991569 lGP.bell bell 4.917345
#> 28 4.9173448 3.2236437 0.4530573 0.21991569 lGP.bell bell 4.917345
#> 29 4.9173448 3.2236437 0.4530573 0.21991569 lGP.bell bell 4.917345
#> 30 4.9173448 3.2236437 0.4530573 0.21991569 lGP.bell bell 4.917345
#> 31 5.9751431 0.5875851 -0.6980909 0.26535797 GP.U U 5.328111
#> 32 5.9751431 0.5875851 -0.6980909 0.26535797 GP.U U 5.328111
#> 33 5.9751431 0.5875851 -0.6980909 0.26535797 GP.U U 5.328111
#> 34 5.9751431 0.5875851 -0.6980909 0.26535797 GP.U U 5.328111
#> 35 5.6078463 -1.2203359 NA 0.20417365 E.inc.concave inc 5.607846
#> 36 5.6078463 -1.2203359 NA 0.20417365 E.inc.concave inc 5.607846
#> 37 5.6078463 -1.2203359 NA 0.20417365 E.inc.concave inc 5.607846
#> 39 5.6078463 -1.2203359 NA 0.20417365 E.inc.concave inc 5.607846
#> 40 5.6078463 -1.2203359 NA 0.20417365 E.inc.concave inc 5.607846
#> 41 5.6078463 -1.2203359 NA 0.20417365 E.inc.concave inc 5.607846
#> 42 5.6078463 -1.2203359 NA 0.20417365 E.inc.concave inc 5.607846
#> 43 5.6078463 -1.2203359 NA 0.20417365 E.inc.concave inc 5.607846
#> 44 4.4698821 1.8678530 0.8450245 0.12256991 GP.bell bell 5.081883
#> 46 7.0187638 1.9509846 NA 0.05587260 E.dec.concave dec 7.018764
#> 47 7.0187638 1.9509846 NA 0.05587260 E.dec.concave dec 7.018764
#> 48 4.4916953 -1.7031497 NA 0.18517809 E.inc.concave inc 4.491695
#> 49 4.4916953 -1.7031497 NA 0.18517809 E.inc.concave inc 4.491695
#> 50 4.4916953 -1.7031497 NA 0.18517809 E.inc.concave inc 4.491695
#> 51 4.4916953 -1.7031497 NA 0.18517809 E.inc.concave inc 4.491695
#> 52 5.2157086 -1.5647018 NA 0.23592637 E.inc.concave inc 5.215709
#> 53 5.2157086 -1.5647018 NA 0.23592637 E.inc.concave inc 5.215709
#> 54 5.2157086 -1.5647018 NA 0.23592637 E.inc.concave inc 5.215709
#> 55 5.2157086 -1.5647018 NA 0.23592637 E.inc.concave inc 5.215709
#> 56 5.2157086 -1.5647018 NA 0.23592637 E.inc.concave inc 5.215709
#> 57 5.2157086 -1.5647018 NA 0.23592637 E.inc.concave inc 5.215709
#> 58 5.0555770 2.6269663 -0.6208164 0.12476292 GP.U U 4.707014
#> 59 5.5138551 NA NA 0.11224716 L.dec dec 5.513855
#> 60 5.5138551 NA NA 0.11224716 L.dec dec 5.513855
#> 61 4.6897871 1.0923496 -0.4146272 0.17573194 lGP.U U 4.689787
#> 62 4.6897871 1.0923496 -0.4146272 0.17573194 lGP.U U 4.689787
#> 63 4.6897871 1.0923496 -0.4146272 0.17573194 lGP.U U 4.689787
#> 64 4.6897871 1.0923496 -0.4146272 0.17573194 lGP.U U 4.689787
#> 65 4.6897871 1.0923496 -0.4146272 0.17573194 lGP.U U 4.689787
#> 67 6.0705233 -1.1113399 NA 0.14811681 E.inc.concave inc 6.070523
#> 68 6.0705233 -1.1113399 NA 0.14811681 E.inc.concave inc 6.070523
#> 69 6.0705233 -1.1113399 NA 0.14811681 E.inc.concave inc 6.070523
#> 70 6.0705233 -1.1113399 NA 0.14811681 E.inc.concave inc 6.070523
#> 71 6.4891514 1.5921459 NA 0.17066885 E.dec.concave dec 6.489151
#> 72 6.4891514 1.5921459 NA 0.17066885 E.dec.concave dec 6.489151
#> 73 6.4891514 1.5921459 NA 0.17066885 E.dec.concave dec 6.489151
#> 75 4.8628416 1.3892912 0.7365937 0.14844069 GP.bell bell 5.525316
#> 76 4.8628416 1.3892912 0.7365937 0.14844069 GP.bell bell 5.525316
#> 77 4.8628416 1.3892912 0.7365937 0.14844069 GP.bell bell 5.525316
#> 79 5.2165398 1.9279453 0.8281597 0.22659347 GP.bell bell 5.817903
#> 80 5.2165398 1.9279453 0.8281597 0.22659347 GP.bell bell 5.817903
#> 81 5.9083172 1.3702809 -0.6148327 0.16888946 GP.U U 5.436867
#> 82 5.9083172 1.3702809 -0.6148327 0.16888946 GP.U U 5.436867
#> 83 5.9083172 1.3702809 -0.6148327 0.16888946 GP.U U 5.436867
#> 84 5.9083172 1.3702809 -0.6148327 0.16888946 GP.U U 5.436867
#> 85 10.8510453 NA NA 0.41695413 L.dec dec 10.851045
#> 86 12.4282123 -2.1982296 NA 0.28684892 E.dec.convex dec 12.428212
#> 87 12.4118704 -2.4052289 NA 0.28115971 E.dec.convex dec 12.411870
#> 88 16.4105357 1.1527615 NA 0.14530179 E.inc.convex inc 16.410536
#> 91 12.9488316 NA NA 0.20667778 L.dec dec 12.948832
#> 95 15.7725900 1.8964701 NA 0.31543564 E.inc.convex inc 15.772590
#> 99 14.6496706 NA NA 0.37973174 L.dec dec 14.649671
#> 102 9.3913476 NA NA 0.18766848 L.dec dec 9.391348
#> 103 7.2362696 -2.3752014 NA 0.30192346 E.inc.concave inc 7.236270
#> 104 7.2362696 -2.3752014 NA 0.30192346 E.inc.concave inc 7.236270
#> 106 7.3442837 -1.3800379 NA 0.50872456 E.dec.convex dec 7.344284
#> 109 15.1021881 NA NA 0.37952774 L.inc inc 15.102188
#> 110 9.8438541 3.1688140 1.4586502 0.27599070 GP.bell bell 10.298744
#> 111 6.1917399 2.6438900 -2.1169700 0.72076613 GP.U U 5.437714
#> 115 12.3018744 NA NA 0.78665664 L.inc inc 12.301874
#> 116 9.3005915 1.9823323 NA 0.31949144 E.dec.concave dec 9.300591
#> 117 17.3249844 NA NA 0.20275495 L.inc inc 17.324984
#> 120 10.9277844 1.5194196 -2.4264132 0.80589796 GP.U U 9.253000
#> 121 13.0826064 5.0536325 NA 0.21425367 E.dec.concave dec 13.082606
#> 122 14.4649621 6.7164464 NA 0.21109707 E.dec.concave dec 14.464962
#> 123 3.6813967 2.5679456 7.7390108 0.55445078 GP.bell bell 10.238924
#> 125 10.7640181 NA NA 0.23146795 L.inc inc 10.764018
#> 127 15.1467650 1.8613086 NA 0.20825290 E.inc.convex inc 15.146765
#> 128 11.2906700 4.5827956 -3.3708994 0.30754041 GP.U U 9.768606
#> 129 11.9235370 0.9067940 NA 0.44761261 E.inc.convex inc 11.923537
#> 131 3.1591011 1.7419187 3.3237027 0.41149782 GP.bell bell 5.859022
#> 132 3.1591011 1.7419187 3.3237027 0.41149782 GP.bell bell 5.859022
#> 133 8.6772914 1.7108205 -1.8696263 0.67001839 lGP.U U 8.677291
#> 134 11.8943363 2.4191926 -1.3218368 0.24812481 GP.U U 11.083641
#> 137 12.4524972 0.7590944 NA 0.28188470 E.inc.convex inc 12.452497
#> 140 11.2948498 NA NA 0.20469339 L.inc inc 11.294850
#> 141 11.5666888 1.5731637 -1.1211951 0.19687033 GP.U U 10.650748
#> 142 10.6115156 NA NA 0.27493541 L.dec dec 10.611516
#> 143 7.5281155 3.3691745 NA 0.40223575 E.inc.convex inc 7.528115
#> 147 17.8604532 1.2635774 NA 0.29022358 E.dec.concave dec 17.860453
#> 148 14.7000111 NA NA 0.44007932 L.inc inc 14.700011
#> 149 7.8301186 1.8307946 NA 0.52494332 E.inc.convex inc 7.830119
#> 150 5.6626237 NA NA 0.32569343 L.inc inc 5.662624
#> 152 12.5354341 NA NA 0.38516458 L.dec dec 12.535434
#> 156 4.2547569 NA NA 0.61055166 L.inc inc 4.254757
#> 157 8.0681583 -1.5870424 NA 0.57855035 E.inc.concave inc 8.068158
#> 158 12.3485193 NA NA 0.33573498 L.dec dec 12.348519
#> 161 11.5968176 1.8275480 -0.8682280 0.29736729 GP.U U 10.992074
#> 164 15.6410941 2.4622535 -1.0424723 0.22568934 GP.U U 15.091678
#> 165 10.5084377 NA NA 0.64924704 L.dec dec 10.508438
#> 166 11.7426152 5.4773692 1.4580135 0.29410154 lGP.bell bell 11.742615
#> 167 10.9445611 NA NA 0.20700446 L.inc inc 10.944561
#> 169 8.3293039 NA NA 0.31094519 L.inc inc 8.329304
#> 170 8.9781782 2.1869740 1.3093175 0.39364195 GP.bell bell 9.603054
#> 171 9.1119357 NA NA 0.84138808 L.dec dec 9.111936
#> 172 9.1119357 NA NA 0.84138808 L.dec dec 9.111936
#> 174 10.6370079 2.4022793 -4.0922462 0.73206856 GP.U U 7.777009
#> 178 10.2055856 2.8555099 2.3244195 0.41255116 GP.bell bell 11.551851
#> 179 13.2867883 NA NA 0.23525867 L.dec dec 13.286788
#> 180 13.9590916 NA NA 0.26918435 L.dec dec 13.959092
#> 181 13.9590916 NA NA 0.26918435 L.dec dec 13.959092
#> 183 6.7361771 -0.6498650 NA 0.38185313 E.inc.concave inc 6.736177
#> 184 6.4085538 NA NA 0.52767310 L.inc inc 6.408554
#> 185 6.4085538 NA NA 0.52767310 L.inc inc 6.408554
#> 186 8.9010369 1.0237053 NA 0.37429011 E.dec.concave dec 8.901037
#> 188 4.1680058 2.3167014 1.3407136 0.64489184 lGP.bell bell 4.168006
#> 190 11.4923353 2.5819255 1.4610375 0.34283417 GP.bell bell 12.368447
#> 193 3.0415932 1.8809478 1.7942520 0.87754767 lGP.bell bell 3.041593
#> 196 12.2786104 1.7372724 -2.0216456 0.53171016 lGP.U U 12.278610
#> 197 8.8178134 NA NA 0.36412409 L.dec dec 8.817813
#> 198 10.3504426 NA NA 0.39026969 L.dec dec 10.350443
#> 199 10.2773638 NA NA 0.38834605 L.inc inc 10.277364
#> 200 10.2773638 NA NA 0.38834605 L.inc inc 10.277364
#> 201 9.6540953 1.9560222 -2.1370159 1.14939830 lGP.U U 9.654095
#> 202 9.6540953 1.9560222 -2.1370159 1.14939830 lGP.U U 9.654095
#> 203 9.6540953 1.9560222 -2.1370159 1.14939830 lGP.U U 9.654095
#> 205 13.7221921 2.8275360 -0.5902918 0.20207860 lGP.U U 13.722192
#> 207 -5.1882517 0.0000000 4.6027866 0.51206355 GP.bell bell 3.199754
#> 208 0.7526332 2.5547012 8.4153150 0.55821268 GP.bell bell 8.467177
#> 211 11.6144651 2.6085834 -0.6474606 0.24250502 lGP.U U 11.614465
#> 214 7.7688166 2.5959623 -1.7181058 0.70975203 lGP.U U 7.768817
#> 215 12.6184168 1.0550836 NA 0.85708282 E.dec.concave dec 12.618417
#> 217 10.6857590 NA NA 0.31873117 L.dec dec 10.685759
#> 218 13.3308965 2.0807712 -2.0437685 0.67930675 lGP.U U 13.330896
#> 220 4.3278401 NA NA 0.64244947 L.inc inc 4.327840
#> 221 23.8696589 0.0000000 -8.8575210 0.31200738 GP.U U 10.754626
#> 222 11.3869012 NA NA 0.25848359 L.dec dec 11.386901
#> 225 11.7554052 1.1188963 NA 0.13641264 E.dec.concave dec 11.755405
#> 228 7.7233560 2.5397977 5.2069816 0.18596550 GP.bell bell 12.616033
#> 229 10.8961840 NA NA 0.27093544 L.dec dec 10.896184
#> 232 -2.6304333 0.0000000 3.7693124 0.45467691 GP.bell bell 3.902563
#> 233 -2.6304333 0.0000000 3.7693124 0.45467691 GP.bell bell 3.902563
#> 235 11.8496013 1.9585039 0.8349853 0.42763624 lGP.bell bell 11.849601
#> 236 10.9187587 0.8633870 NA 0.30698381 E.inc.convex inc 10.918759
#> 237 15.7513805 1.2089428 NA 0.43153316 E.dec.concave dec 15.751380
#> 238 15.7513805 1.2089428 NA 0.43153316 E.dec.concave dec 15.751380
#> 240 15.7513805 1.2089428 NA 0.43153316 E.dec.concave dec 15.751380
#> 242 5.6176186 NA NA 0.71745130 L.inc inc 5.617619
#> 243 11.9083638 2.7394740 1.2475547 0.17108221 GP.bell bell 12.737821
#> 245 8.3098306 1.7832021 NA 0.47444618 E.inc.convex inc 8.309831
#> 246 8.3098306 1.7832021 NA 0.47444618 E.inc.convex inc 8.309831
#> 248 6.9999200 NA NA 0.48572253 L.inc inc 6.999920
#> 251 17.9267166 NA NA 0.19130163 L.inc inc 17.926717
#> 252 17.9267166 NA NA 0.19130163 L.inc inc 17.926717
#> 253 11.5528527 1.7586717 0.9857557 0.27811862 lGP.bell bell 11.552853
#> 255 4.1240469 0.9672252 NA 1.22904641 E.inc.convex inc 4.124047
#> 256 11.2738979 -2.4815554 NA 0.24110024 E.dec.convex dec 11.273898
#> 257 11.1766179 0.9162819 NA 0.22747339 E.dec.concave dec 11.176618
#> 259 10.9147353 NA NA 0.16490391 L.inc inc 10.914735
#> 260 6.4933089 -1.5366759 NA 0.65031263 E.dec.convex dec 6.493309
#> 263 10.5032644 NA NA 0.29248928 L.inc inc 10.503264
#> 265 9.5564865 NA NA 0.18002511 L.inc inc 9.556486
#> 266 5.0551521 -0.5889109 NA 0.72440497 E.dec.convex dec 5.055152
#> 270 29.7823352 0.0000000 -13.8372731 0.77132816 GP.U U 8.816835
#> 272 5.1502968 NA NA 0.49677570 L.inc inc 5.150297
#> 274 13.0468298 -2.5200214 NA 0.13144425 E.dec.convex dec 13.046830
#> 275 11.0973433 2.0754574 NA 0.27234802 E.inc.convex inc 11.097343
#> 276 6.9630481 -2.0722462 NA 0.44005180 E.dec.convex dec 6.963048
#> 277 9.0129913 NA NA 0.28336282 L.inc inc 9.012991
#> 279 6.6904034 1.2899867 NA 0.25309746 E.dec.concave dec 6.690403
#> 280 9.2723423 1.2974934 NA 0.27951792 E.dec.concave dec 9.272342
#> 282 13.4155278 -2.2148393 NA 0.40243907 E.dec.convex dec 13.415528
#> 285 9.3830167 1.9563733 -1.1542378 0.23896903 GP.U U 8.502959
#> 286 3.6770965 NA NA 0.64907732 L.inc inc 3.677097
#> 287 8.2045728 NA NA 0.33406887 L.dec dec 8.204573
#> 288 8.2045728 NA NA 0.33406887 L.dec dec 8.204573
#> 291 4.6285396 NA NA 0.44374643 L.dec dec 4.628540
#> 293 9.8243533 1.9682607 NA 0.21543421 E.inc.convex inc 9.824353
#> 295 8.0476185 NA NA 0.25867705 L.dec dec 8.047618
#> 296 12.4697768 3.3599518 NA 0.26868859 E.dec.concave dec 12.469777
#> 297 11.1166216 NA NA 0.24109408 L.dec dec 11.116622
#> 298 11.1166216 NA NA 0.24109408 L.dec dec 11.116622
#> 299 8.8001787 1.0569847 NA 0.44895951 E.dec.concave dec 8.800179
#> 301 12.5829044 NA NA 0.28459726 L.inc inc 12.582904
#> 303 9.8420421 NA NA 0.14724997 L.dec dec 9.842042
#> 305 12.9786729 0.9062525 NA 0.48389149 E.dec.concave dec 12.978673
#> 306 12.9205516 NA NA 0.29030980 L.dec dec 12.920552
#> 307 12.9205516 NA NA 0.29030980 L.dec dec 12.920552
#> 308 7.5677415 0.9950738 -0.7564927 0.23626721 GP.U U 7.073164
#> 312 12.1685832 2.0515078 0.7474307 0.31596860 lGP.bell bell 12.168583
#> 314 8.8258814 -2.6181633 NA 0.49728328 E.inc.concave inc 8.825881
#> 317 11.2206087 2.3761712 -1.7174779 0.56239213 GP.U U 10.182344
#> 320 6.0844002 3.8714820 2.6450452 0.50826185 GP.bell bell 7.183840
#> 321 6.0844002 3.8714820 2.6450452 0.50826185 GP.bell bell 7.183840
#> 322 9.8322505 -1.0676294 NA 0.23732470 E.dec.convex dec 9.832250
#> 327 4.9468313 -0.7537935 NA 0.38646039 E.dec.convex dec 4.946831
#> 328 7.4334490 1.8152385 NA 0.44755458 E.inc.convex inc 7.433449
#> 330 10.2727203 1.0777063 NA 0.24051502 E.dec.concave dec 10.272720
#> 331 9.5975067 NA NA 0.18071219 L.inc inc 9.597507
#> 332 9.5975067 NA NA 0.18071219 L.inc inc 9.597507
#> 333 7.7633888 0.2414632 0.9158559 0.31711928 GP.bell bell 8.668420
#> 336 25.8775428 0.0000000 -11.8133493 1.05863155 GP.U U 4.430464
#> 338 10.3977914 NA NA 0.31334720 L.inc inc 10.397791
#> 339 2.8818475 1.4831086 0.9310508 0.41140105 lGP.bell bell 2.881847
#> 340 5.4338860 2.2028885 1.3974511 0.27541245 GP.bell bell 6.426716
#> 341 6.3598648 2.1273579 -4.1079331 1.11545022 GP.U U 3.480083
#> 342 2.5445734 NA NA 0.88166215 L.inc inc 2.544573
#> 343 11.5544508 2.3238072 -0.7635036 0.23894341 GP.U U 11.184472
#> 344 10.4291831 -2.6796044 NA 0.37877170 E.dec.convex dec 10.429183
#> 346 9.6726997 NA NA 0.45436857 L.inc inc 9.672700
#> 350 5.5944775 1.7426689 NA 0.51295133 E.inc.convex inc 5.594478
#> 354 5.6099340 1.8216559 NA 0.32521096 E.inc.convex inc 5.609934
#> 357 7.4650252 1.7793179 NA 0.55020692 E.inc.convex inc 7.465025
#> 358 7.1131979 2.2776491 NA 0.30554731 E.dec.concave dec 7.113198
#> 360 7.1131979 2.2776491 NA 0.30554731 E.dec.concave dec 7.113198
#> 361 9.3779405 0.8420820 NA 0.38873834 E.inc.convex inc 9.377940
#> 362 11.5919778 2.1014401 -1.3549521 0.53260300 lGP.U U 11.591978
#> 364 10.0143263 NA NA 0.27962037 L.inc inc 10.014326
#> 365 17.9024313 NA NA 0.17878483 L.dec dec 17.902431
#> 368 13.9040590 1.3987102 NA 0.44692567 E.dec.concave dec 13.904059
#> 370 6.1183998 -2.3714972 NA 0.59801495 E.dec.convex dec 6.118400
#> 372 13.8162214 1.9596785 -3.2185534 0.39523662 GP.U U 11.147673
#> 375 11.8055777 1.3537714 NA 0.50658959 E.inc.convex inc 11.805578
#> 376 7.3479036 NA NA 0.43229217 L.dec dec 7.347904
#> 378 13.3150381 1.2295545 NA 0.21279936 E.dec.concave dec 13.315038
#> 379 9.1311118 -2.2535099 NA 0.26268812 E.inc.concave inc 9.131112
#> 380 10.5378650 0.8143290 NA 0.45401830 E.dec.concave dec 10.537865
#> 384 6.3162507 5.0891995 NA 0.46725727 E.inc.convex inc 6.316251
#> 386 10.0567043 NA NA 0.16441109 L.inc inc 10.056704
#> 387 10.0567043 NA NA 0.16441109 L.inc inc 10.056704
#> 389 5.1148212 1.4084038 NA 1.09855421 E.inc.convex inc 5.114821
#> 391 8.3714801 NA NA 0.25820328 L.dec dec 8.371480
#> 394 9.4154096 3.0079390 NA 0.20173024 E.dec.concave dec 9.415410
#> 395 10.3811233 3.1733712 NA 0.13779241 E.inc.convex inc 10.381123
#> 397 23.7778473 0.0000000 -10.9292695 0.88531156 GP.U U 6.674833
#> 399 7.6939508 1.5471002 0.6661478 0.19149575 GP.bell bell 8.207650
#> 401 8.3205953 2.3566612 1.6122935 0.35325412 GP.bell bell 9.340510
#> 404 13.0053551 1.6480345 NA 0.24599239 E.dec.concave dec 13.005355
#> 405 4.8721779 NA NA 0.43574679 L.inc inc 4.872178
#> 408 12.7509474 2.2781947 -2.6699053 0.24834756 GP.U U 10.429737
#> 409 8.9310280 3.3853270 NA 0.34811954 E.inc.convex inc 8.931028
#> 410 10.8334321 1.3088554 NA 0.28990436 E.dec.concave dec 10.833432
#> 411 14.5173033 1.8299680 -2.9355534 1.00890423 GP.U U 12.797480
#> 414 8.2742116 NA NA 0.31619541 L.dec dec 8.274212
#> 416 15.2527459 2.3845901 -1.0454945 0.25908843 GP.U U 14.589230
#> 419 8.3222889 0.8805994 NA 0.48194682 E.inc.convex inc 8.322289
#> 420 8.4387577 1.1156241 NA 0.37889392 E.inc.convex inc 8.438758
#> 422 3.9580970 NA NA 0.87902801 L.inc inc 3.958097
#> 427 9.9736456 2.3940384 -4.7016243 0.59130862 GP.U U 6.459487
#> 428 9.9736456 2.3940384 -4.7016243 0.59130862 GP.U U 6.459487
#> 430 7.5408033 1.2173378 NA 0.27550558 E.inc.convex inc 7.540803
#> 433 11.7688844 1.0415715 NA 0.21113446 E.dec.concave dec 11.768884
#> 437 7.6097461 NA NA 0.30468219 L.dec dec 7.609746
#> 439 3.4938885 0.8961284 NA 0.99563693 E.inc.convex inc 3.493888
#> 441 3.4938885 0.8961284 NA 0.99563693 E.inc.convex inc 3.493888
#> 443 7.8034297 NA NA 0.65170810 L.inc inc 7.803430
#> 445 12.9287491 -1.3776799 NA 0.29718879 E.dec.convex dec 12.928749
#> 447 9.8736895 1.1503631 NA 0.61355815 E.inc.convex inc 9.873690
#> 450 11.4665408 NA NA 0.24072663 L.dec dec 11.466541
#> 453 11.2188707 1.9158332 0.6101410 0.15859610 GP.bell bell 11.591422
#> 454 11.2188707 1.9158332 0.6101410 0.15859610 GP.bell bell 11.591422
#> 457 9.9160221 1.0820381 NA 0.43570777 E.dec.concave dec 9.916022
#> 458 9.9160221 1.0820381 NA 0.43570777 E.dec.concave dec 9.916022
#> 460 6.1955178 NA NA 0.64907510 L.dec dec 6.195518
#> 461 11.5983183 NA NA 0.24519679 L.inc inc 11.598318
#> 464 11.5369318 NA NA 0.28696334 L.dec dec 11.536932
#> 465 7.6420694 1.9968840 NA 0.29198344 E.inc.convex inc 7.642069
#> 466 13.6080352 2.3215767 NA 0.23573761 E.dec.concave dec 13.608035
#> 467 11.5233287 0.8734262 NA 0.54421378 E.dec.concave dec 11.523329
#> 468 8.8190315 0.7225067 NA 0.17256242 E.dec.concave dec 8.819032
#> 469 6.1391526 3.1550982 -1.2353559 0.46567636 lGP.U U 6.139153
#> 470 15.5969330 NA NA 0.18311723 L.inc inc 15.596933
#> 471 7.1664552 1.8676771 NA 0.53449306 E.dec.concave dec 7.166455
#> 473 14.2054782 NA NA 0.46399131 L.inc inc 14.205478
#> 475 12.7384191 1.6671166 NA 0.51466168 E.inc.convex inc 12.738419
#> 476 7.6278041 -2.0128076 NA 0.32054437 E.inc.concave inc 7.627804
#> 479 18.4632294 NA NA 0.20247498 L.dec dec 18.463229
#> 480 18.4632294 NA NA 0.20247498 L.dec dec 18.463229
#> 481 11.7480225 2.3988301 -1.6451186 0.34020978 GP.U U 10.588494
#> 482 5.8879508 3.3358199 NA 0.44022250 E.inc.convex inc 5.887951
#> 483 9.3907657 NA NA 0.35251384 L.inc inc 9.390766
#> 486 12.5673623 2.0444975 -2.6933806 0.70145770 GP.U U 10.540594
#> 488 4.4751185 -1.3700499 NA 0.65855748 E.inc.concave inc 4.475119
#> 490 8.3079954 -2.3133165 NA 0.42499412 E.dec.convex dec 8.307995
#> 491 8.3079954 -2.3133165 NA 0.42499412 E.dec.convex dec 8.307995
#> 492 10.3737271 1.3213539 NA 0.46734668 E.inc.convex inc 10.373727
#> 493 16.8203565 NA NA 0.24465590 L.dec dec 16.820356
#> 494 3.5216604 1.5925756 1.6525193 0.71149572 lGP.bell bell 3.521660
#> 495 11.1141357 3.0740721 -0.5950246 0.20511033 lGP.U U 11.114136
#> 496 6.9911665 NA NA 0.68942828 L.inc inc 6.991166
#> 498 8.6675517 NA NA 0.23785120 L.inc inc 8.667552
#> 499 8.6675517 NA NA 0.23785120 L.inc inc 8.667552
#> 500 8.8683481 2.2554363 -6.3717984 0.76503106 GP.U U 3.081979
#> 501 11.8312797 2.0127634 -2.1716042 0.35429372 GP.U U 10.482349
#> 502 6.9247347 NA NA 0.53935448 L.inc inc 6.924735
#> 504 5.1107369 2.3273524 NA 0.49190939 E.inc.convex inc 5.110737
#> 505 14.3133366 2.0401909 -2.2874180 0.47711867 GP.U U 12.552174
#> 509 11.6564745 0.8059689 NA 0.34163752 E.dec.concave dec 11.656474
#> 513 2.8568072 1.2403251 NA 0.72920067 E.inc.convex inc 2.856807
#> 514 2.8568072 1.2403251 NA 0.72920067 E.inc.convex inc 2.856807
#> 515 3.7375623 NA NA 0.66526211 L.inc inc 3.737562
#> 517 4.4669724 0.9312615 NA 1.17808168 E.inc.convex inc 4.466972
#> 518 7.7051920 2.7907400 -1.3259250 0.46062229 lGP.U U 7.705192
#> 519 11.8729554 1.6928649 NA 0.36955986 E.inc.convex inc 11.872955
#> 520 5.0903345 1.5288013 NA 0.24985468 E.inc.convex inc 5.090334
#> 521 3.2368169 1.7099772 1.2535246 0.47283855 GP.bell bell 3.614205
#> 522 11.2851985 0.7767753 NA 0.58488759 E.inc.convex inc 11.285199
#> 523 11.1769600 2.5412298 NA 0.24873284 E.dec.concave dec 11.176960
#> 525 3.3180250 1.2611850 0.8999648 0.48348498 lGP.bell bell 3.318025
#> 526 2.9577864 NA NA 0.54268515 L.inc inc 2.957786
#> 527 5.8568962 1.4500622 -1.9460898 0.98274605 lGP.U U 5.856896
#> 528 10.1316456 NA NA 0.28742947 L.inc inc 10.131646
#> 531 6.8771861 0.9719432 NA 0.65133666 E.dec.concave dec 6.877186
#> 534 11.7948434 1.8803822 -1.7229567 0.53837776 GP.U U 10.564068
#> 535 6.6915012 0.9153870 NA 0.99255522 E.inc.convex inc 6.691501
#> 540 4.8284296 2.0830008 NA 0.73289707 E.inc.convex inc 4.828430
#> 542 4.9989594 1.5821319 -1.2090070 0.51207828 lGP.U U 4.998959
#> 543 14.5772553 2.2981412 -1.5915164 0.53119435 GP.U U 13.648609
#> 544 12.2812084 1.0480454 NA 0.31467644 E.dec.concave dec 12.281208
#> 546 2.4794339 NA NA 0.52220615 L.inc inc 2.479434
#> 547 2.6824742 1.2062259 NA 0.82653462 E.inc.convex inc 2.682474
#> 549 4.4432065 1.5956017 -2.0801672 1.01087060 lGP.U U 4.443206
#> 551 3.9219997 -1.4167347 NA 0.80658748 E.inc.concave inc 3.922000
#> 552 2.9837278 NA NA 1.23243335 L.inc inc 2.983728
#> 553 3.2938960 NA NA 0.78506590 L.inc inc 3.293896
#> 554 4.7820339 0.7862608 NA 0.62138156 E.dec.concave dec 4.782034
#> 556 8.9741606 -0.8263232 NA 0.28582133 E.inc.concave inc 8.974161
#> 558 6.9317875 NA NA 0.37680979 L.inc inc 6.931787
#> 559 10.6317327 1.8611164 -1.6585672 0.40393199 GP.U U 9.349429
#> 561 6.2030766 1.3022662 NA 0.31243642 E.dec.concave dec 6.203077
#> 562 6.2030766 1.3022662 NA 0.31243642 E.dec.concave dec 6.203077
#> 565 8.8032367 -2.4187724 NA 0.22248510 E.dec.convex dec 8.803237
#> 566 6.2678143 -1.4799430 NA 0.46551188 E.inc.concave inc 6.267814
#> 567 4.1003451 0.9665863 NA 0.83033880 E.inc.convex inc 4.100345
#> 569 5.2877014 NA NA 0.65093913 L.inc inc 5.287701
#> 571 2.6618273 1.8081921 1.5558322 0.59126123 GP.bell bell 3.733593
#> 572 4.9407625 NA NA 0.47588238 L.inc inc 4.940763
#> 573 11.7181620 NA NA 0.49107177 L.inc inc 11.718162
#> 574 6.8551980 -0.3848874 NA 0.24733881 E.inc.concave inc 6.855198
#> 575 6.0290060 1.1910100 NA 0.60886000 E.inc.convex inc 6.029006
#> 577 6.8208872 2.2045847 -1.9822962 0.65642859 GP.U U 5.532363
#> 579 2.3530681 NA NA 1.29727813 L.inc inc 2.353068
#> 580 2.3530681 NA NA 1.29727813 L.inc inc 2.353068
#> 581 7.8537519 3.5301455 -1.0908882 0.28620983 lGP.U U 7.853752
#> 583 16.1210861 1.6875592 NA 0.25581662 E.inc.convex inc 16.121086
#> 585 6.9329387 1.5675702 NA 0.50617193 E.dec.concave dec 6.932939
#> 586 5.9474858 2.1464196 -1.2818324 0.48811443 lGP.U U 5.947486
#> 587 5.9474858 2.1464196 -1.2818324 0.48811443 lGP.U U 5.947486
#> 588 12.9839302 5.0595658 -2.4186880 0.32894425 GP.U U 12.332673
#> 590 11.8293086 NA NA 1.20927918 L.inc inc 11.829309
#> 591 8.0048304 1.2968103 NA 0.33827142 E.inc.convex inc 8.004830
#> 593 2.7094606 1.8595387 NA 0.73835019 E.inc.convex inc 2.709461
#> 595 7.5037249 NA NA 0.40049288 L.dec dec 7.503725
#> 596 2.6582772 2.6722696 4.3931116 0.45650946 GP.bell bell 5.663831
#> 597 5.2667162 1.7742492 NA 0.45397783 E.dec.concave dec 5.266716
#> 598 8.2084258 -2.0754915 NA 0.30806244 E.inc.concave inc 8.208426
#> 599 8.2084258 -2.0754915 NA 0.30806244 E.inc.concave inc 8.208426
#> 603 3.3517045 NA NA 0.78185445 L.inc inc 3.351704
#> 604 -4.6684484 2.7306565 14.1086676 0.29870979 GP.bell bell 8.700290
#> 606 15.0002172 NA NA 0.53837112 L.inc inc 15.000217
#> 608 7.1764685 1.0238480 NA 0.42350852 E.dec.concave dec 7.176469
#> 610 2.7836841 0.8429907 NA 0.60237813 E.inc.convex inc 2.783684
#> 611 8.7976822 -1.8935670 NA 0.47334309 E.inc.concave inc 8.797682
#> 612 9.5804433 0.9456406 NA 0.19945603 E.inc.convex inc 9.580443
#> 614 9.5804433 0.9456406 NA 0.19945603 E.inc.convex inc 9.580443
#> 615 9.5804433 0.9456406 NA 0.19945603 E.inc.convex inc 9.580443
#> 616 5.1115295 NA NA 0.40444003 L.inc inc 5.111529
#> 617 8.3996060 3.2698204 NA 0.21379500 E.inc.convex inc 8.399606
#> 618 6.0977853 2.1816572 -3.1142421 1.03760938 GP.U U 4.749125
#> 619 6.0977853 2.1816572 -3.1142421 1.03760938 GP.U U 4.749125
#> 620 2.6041848 1.0531930 NA 0.75747748 E.inc.convex inc 2.604185
#> 623 2.7776193 1.5555118 1.7762050 0.50391975 lGP.bell bell 2.777619
#> 624 5.3838933 NA NA 0.89586768 L.inc inc 5.383893
#> 626 5.0070495 2.6958540 NA 0.52415863 E.inc.convex inc 5.007050
#> 630 8.2625336 0.7222172 NA 0.96123411 E.dec.concave dec 8.262534
#> 631 11.8824074 1.7807252 NA 0.31764055 E.dec.concave dec 11.882407
#> 634 6.5549589 NA NA 0.44384894 L.inc inc 6.554959
#> 641 13.3495350 -1.8926198 NA 0.34219661 E.dec.convex dec 13.349535
#> 642 15.6634034 -2.0276704 NA 0.22497205 E.inc.concave inc 15.663403
#> 643 17.0456861 NA NA 0.30817653 L.inc inc 17.045686
#> 644 15.5325419 0.9010627 NA 0.14782250 E.inc.convex inc 15.532542
#> 645 12.3446582 -2.4650317 NA 0.25729560 E.dec.convex dec 12.344658
#> 646 15.7385354 0.8902771 NA 0.15980885 E.inc.convex inc 15.738535
#> yrange maxychange xextrem yextrem BMD.zSD BMR.zSD BMD.xfold
#> 1 0.4346034 0.4346034 NA NA 2.2237393 7.219029 NA
#> 2 0.4556672 0.4556672 NA NA 0.5279668 5.815850 NA
#> 5 0.3498078 0.3498078 NA NA 1.1542677 7.807077 NA
#> 6 0.3498078 0.3498078 NA NA 1.1542677 7.807077 NA
#> 7 0.3498078 0.3498078 NA NA 1.1542677 7.807077 NA
#> 8 0.6010677 0.6010677 NA NA 0.1582542 6.624146 NA
#> 9 0.6721023 0.6721023 NA NA 0.1821546 5.919602 0.8318574
#> 10 0.1912790 0.1912790 1.4588204 7.097604 0.7315304 7.218025 NA
#> 11 0.4520636 0.4520636 NA NA 0.2528186 6.718211 NA
#> 12 0.4392508 0.4392508 NA NA 0.1139635 7.404943 NA
#> 13 0.1503987 0.1503987 NA NA 2.9766289 6.409775 NA
#> 14 0.4491366 0.4491366 NA NA 2.0261156 5.621033 NA
#> 16 0.4771993 0.4771993 NA NA 3.0418937 5.517232 NA
#> 17 0.4771993 0.4771993 NA NA 3.0418937 5.517232 NA
#> 18 0.3520280 0.3520280 NA NA 5.9997652 5.111507 NA
#> 19 0.3520280 0.3520280 NA NA 5.9997652 5.111507 NA
#> 20 0.3520280 0.3520280 NA NA 5.9997652 5.111507 NA
#> 22 0.2455556 0.2138158 1.4069463 5.081330 0.6597819 4.973670 NA
#> 23 0.2455556 0.2138158 1.4069463 5.081330 0.6597819 4.973670 NA
#> 25 0.2833937 0.2833937 NA NA 3.8465968 5.334884 NA
#> 26 0.4530573 0.4530573 3.2236437 5.370402 1.5389057 5.137260 NA
#> 27 0.4530573 0.4530573 3.2236437 5.370402 1.5389057 5.137260 NA
#> 28 0.4530573 0.4530573 3.2236437 5.370402 1.5389057 5.137260 NA
#> 29 0.4530573 0.4530573 3.2236437 5.370402 1.5389057 5.137260 NA
#> 30 0.4530573 0.4530573 3.2236437 5.370402 1.5389057 5.137260 NA
#> 31 0.6980825 0.6470232 0.5875851 5.277052 2.2442671 5.593469 3.4561250
#> 32 0.6980825 0.6470232 0.5875851 5.277052 2.2442671 5.593469 3.4561250
#> 33 0.6980825 0.6470232 0.5875851 5.277052 2.2442671 5.593469 3.4561250
#> 34 0.6980825 0.6470232 0.5875851 5.277052 2.2442671 5.593469 3.4561250
#> 35 0.3960491 0.3960491 NA NA 0.8821213 5.812020 NA
#> 36 0.3960491 0.3960491 NA NA 0.8821213 5.812020 NA
#> 37 0.3960491 0.3960491 NA NA 0.8821213 5.812020 NA
#> 39 0.3960491 0.3960491 NA NA 0.8821213 5.812020 NA
#> 40 0.3960491 0.3960491 NA NA 0.8821213 5.812020 NA
#> 41 0.3960491 0.3960491 NA NA 0.8821213 5.812020 NA
#> 42 0.3960491 0.3960491 NA NA 0.8821213 5.812020 NA
#> 43 0.3960491 0.3960491 NA NA 0.8821213 5.812020 NA
#> 44 0.8109383 0.5779147 1.8678530 5.314907 0.6370853 5.204453 6.6295891
#> 46 0.2284144 0.2284144 NA NA 5.1225625 6.962891 NA
#> 47 0.2284144 0.2284144 NA NA 5.1225625 6.962891 NA
#> 48 0.3629299 0.3629299 NA NA 1.1972137 4.676873 NA
#> 49 0.3629299 0.3629299 NA NA 1.1972137 4.676873 NA
#> 50 0.3629299 0.3629299 NA NA 1.1972137 4.676873 NA
#> 51 0.3629299 0.3629299 NA NA 1.1972137 4.676873 NA
#> 52 0.5113868 0.5113868 NA NA 0.9586777 5.451635 NA
#> 53 0.5113868 0.5113868 NA NA 0.9586777 5.451635 NA
#> 54 0.5113868 0.5113868 NA NA 0.9586777 5.451635 NA
#> 55 0.5113868 0.5113868 NA NA 0.9586777 5.451635 NA
#> 56 0.5113868 0.5113868 NA NA 0.9586777 5.451635 NA
#> 57 0.5113868 0.5113868 NA NA 0.9586777 5.451635 NA
#> 58 0.5522909 0.2800374 2.6269663 4.434761 0.8261462 4.582251 NA
#> 59 0.3939227 0.3939227 NA NA 2.2111898 5.401608 NA
#> 60 0.3939227 0.3939227 NA NA 2.2111898 5.401608 NA
#> 61 0.4981938 0.3405782 1.0482802 4.349209 0.7805309 4.514055 NA
#> 62 0.4981938 0.3405782 1.0482802 4.349209 0.7805309 4.514055 NA
#> 63 0.4981938 0.3405782 1.0482802 4.349209 0.7805309 4.514055 NA
#> 64 0.4981938 0.3405782 1.0482802 4.349209 0.7805309 4.514055 NA
#> 65 0.4981938 0.3405782 1.0482802 4.349209 0.7805309 4.514055 NA
#> 67 0.2683749 0.2683749 NA NA 0.8908528 6.218640 NA
#> 68 0.2683749 0.2683749 NA NA 0.8908528 6.218640 NA
#> 69 0.2683749 0.2683749 NA NA 0.8908528 6.218640 NA
#> 70 0.2683749 0.2683749 NA NA 0.8908528 6.218640 NA
#> 71 0.5966741 0.5966741 NA NA 5.7972864 6.318483 NA
#> 72 0.5966741 0.5966741 NA NA 5.7972864 6.318483 NA
#> 73 0.5966741 0.5966741 NA NA 5.7972864 6.318483 NA
#> 75 0.6573939 0.5832748 1.3892912 5.599435 3.9480418 5.376875 7.2728900
#> 76 0.6573939 0.5832748 1.3892912 5.599435 3.9480418 5.376875 7.2728900
#> 77 0.6573939 0.5832748 1.3892912 5.599435 3.9480418 5.376875 7.2728900
#> 79 0.7838623 0.5570660 1.9279453 6.044699 1.8746151 6.044497 NA
#> 80 0.7838623 0.5570660 1.9279453 6.044699 1.8746151 6.044497 NA
#> 81 0.6129220 0.4695398 1.3702809 5.293484 3.6094654 5.605756 NA
#> 82 0.6129220 0.4695398 1.3702809 5.293484 3.6094654 5.605756 NA
#> 83 0.6129220 0.4695398 1.3702809 5.293484 3.6094654 5.605756 NA
#> 84 0.6129220 0.4695398 1.3702809 5.293484 3.6094654 5.605756 NA
#> 85 1.4451322 1.4451322 NA NA 1.9131972 10.434091 4.9790105
#> 86 1.4260064 1.4260064 NA NA 0.4667565 12.141363 3.8804658
#> 87 1.3187707 1.3187707 NA NA 0.5356979 12.130711 5.1282913
#> 88 0.5667240 0.5667240 NA NA 5.0725915 16.555837 NA
#> 91 0.9321607 0.9321607 NA NA 1.4702189 12.742154 NA
#> 95 1.5755952 1.5755952 NA NA 3.7973745 16.088026 NA
#> 99 0.8397821 0.8397821 NA NA 2.9983980 14.269939 NA
#> 102 0.5072807 0.5072807 NA NA 2.4531384 9.203679 NA
#> 103 0.7254029 0.7254029 NA NA 1.1767628 7.538193 6.5436013
#> 104 0.7254029 0.7254029 NA NA 1.1767628 7.538193 6.5436013
#> 106 1.5164596 1.5164596 NA NA 0.5582910 6.835559 0.9033421
#> 109 1.0235083 1.0235083 NA NA 2.4588452 15.481716 NA
#> 110 1.0956824 1.0037607 3.1688140 11.302504 0.7285396 10.574734 NA
#> 111 1.9146107 1.3629446 2.6438900 4.074770 1.0793925 4.716948 0.8236293
#> 115 2.8622806 2.8622806 NA NA 1.8224349 13.088531 2.8499557
#> 116 0.6953599 0.6953599 NA NA 5.1699097 8.981100 NA
#> 117 0.6275920 0.6275920 NA NA 2.1422646 17.527739 NA
#> 120 2.3898736 1.6382451 1.5194196 8.501371 4.0482830 10.058898 4.2241830
#> 121 1.2471032 1.2471032 NA NA 1.9341638 12.868353 NA
#> 122 2.1130749 2.1130749 NA NA 1.0443056 14.253865 5.1497136
#> 123 2.6271853 1.4457016 2.5679456 11.420407 0.7339797 10.793374 1.6629870
#> 125 0.5298971 0.5298971 NA NA 2.8965322 10.995486 NA
#> 127 1.1100339 1.1100339 NA NA 3.7319420 15.355018 NA
#> 128 1.1159414 0.6118908 2.9011529 9.264556 1.2030629 9.461066 NA
#> 129 1.6230068 1.6230068 NA NA 5.4645388 12.371150 6.3516074
#> 131 2.6773137 2.0535315 1.7419187 6.482804 0.7603447 6.270519 1.3328628
#> 132 2.6773137 2.0535315 1.7419187 6.482804 0.7603447 6.270519 1.3328628
#> 133 1.8696263 1.8696263 1.7108205 6.807665 0.5760685 8.007273 0.6673274
#> 134 1.0214920 0.5111417 2.4191926 10.572500 0.7894809 10.835516 NA
#> 137 0.7231739 0.7231739 NA NA 5.9160090 12.734382 NA
#> 140 0.6355020 0.6355020 NA NA 2.1358264 11.499543 NA
#> 141 0.9825269 0.7772726 1.5731637 10.445494 1.2700689 10.453878 NA
#> 142 0.9032233 0.9032233 NA NA 2.0184340 10.336580 NA
#> 143 2.6423399 2.6423399 NA NA 2.2280425 7.930351 3.4134579
#> 147 1.3202534 1.3202534 NA NA 4.7401393 17.570230 NA
#> 148 1.0314101 1.0314101 NA NA 2.8292974 15.140090 NA
#> 149 1.6382243 1.6382243 NA NA 4.6483666 8.355062 5.3321567
#> 150 1.0445220 1.0445220 NA NA 2.0676187 5.988317 3.5948366
#> 152 0.9374300 0.9374300 NA NA 2.7244982 12.150270 NA
#> 156 1.4365255 1.4365255 NA NA 2.8183056 4.865309 1.9639952
#> 157 1.6606248 1.6606248 NA NA 0.6668007 8.646709 1.0329475
#> 158 1.3602197 1.3602197 NA NA 1.6366905 12.012784 6.0198387
#> 161 0.7968439 0.5333591 1.8275480 10.728590 4.9242758 11.289442 NA
#> 164 0.8762376 0.4930563 2.4622535 14.598622 0.7873949 14.865989 NA
#> 165 2.8436971 2.8436971 NA NA 1.5139296 9.859191 2.4503823
#> 166 1.0312987 0.7141166 2.5296882 12.059797 2.0821730 12.036717 NA
#> 167 0.7189896 0.7189896 NA NA 1.9091328 11.151566 NA
#> 169 1.4213819 1.4213819 NA NA 1.4506148 8.640249 3.8857687
#> 170 1.2475819 0.6844412 2.1869740 10.287496 0.9126300 9.996696 NA
#> 171 2.4354311 2.4354311 NA NA 2.2908652 8.270548 2.4809261
#> 172 2.4354311 2.4354311 NA NA 2.2908652 8.270548 2.4809261
#> 174 2.7438223 1.5115754 2.4022793 6.544762 0.9531756 7.044940 1.0251183
#> 178 1.4297124 0.9781543 2.8555099 12.530005 0.8151722 11.964402 NA
#> 179 0.8849830 0.8849830 NA NA 1.7627459 13.051530 NA
#> 180 0.7551267 0.7551267 NA NA 2.3637907 13.689907 NA
#> 181 0.7551267 0.7551267 NA NA 2.3637907 13.689907 NA
#> 183 1.2492267 1.2492267 NA NA 0.2370668 7.118030 0.5035207
#> 184 1.3030102 1.3030102 NA NA 2.6853208 6.936227 3.2613039
#> 185 1.3030102 1.3030102 NA NA 2.6853208 6.936227 3.2613039
#> 186 0.9204590 0.9204590 NA NA 5.7121222 8.526747 6.5967242
#> 188 1.3407136 1.3407136 2.3167014 5.508719 1.1232833 4.812898 0.9282272
#> 190 1.0456724 0.5849261 2.5819255 12.953373 1.0452152 12.711281 NA
#> 193 1.7942520 1.7942520 1.8809478 4.835845 0.8218053 3.919141 0.5103535
#> 196 2.0216456 2.0216456 1.7372724 10.256965 0.6687799 11.746900 0.9695193
#> 197 0.7772864 0.7772864 NA NA 3.1063283 8.453689 NA
#> 198 0.8961317 0.8961317 NA NA 2.8878327 9.960173 NA
#> 199 0.8369527 0.8369527 NA NA 3.0767840 10.665710 NA
#> 200 0.8369527 0.8369527 NA NA 3.0767840 10.665710 NA
#> 201 2.1370159 2.1370159 1.9560222 7.517079 0.9072409 8.504697 0.8197933
#> 202 2.1370159 2.1370159 1.9560222 7.517079 0.9072409 8.504697 0.8197933
#> 203 2.1370159 2.1370159 1.9560222 7.517079 0.9072409 8.504697 0.8197933
#> 205 0.5902918 0.5902918 2.8275360 13.131900 0.6768404 13.520114 NA
#> 207 1.3762816 0.9567808 2.1064523 4.156535 0.6470138 3.711818 0.3740702
#> 208 1.6710504 0.9702795 2.5547012 9.167948 1.4222300 9.025390 6.4602636
#> 211 0.6474606 0.6474606 2.6085834 10.967005 0.8877879 11.371960 NA
#> 214 1.7181058 1.7181058 2.5959623 6.050711 0.8824251 7.059065 0.9338753
#> 215 2.2364894 2.2364894 NA NA 5.6222008 11.761334 6.0286569
#> 217 0.8034587 0.8034587 NA NA 2.6305103 10.367028 NA
#> 218 2.0437685 2.0437685 2.0807712 11.287128 0.6438946 12.651590 1.0021942
#> 220 2.0758668 2.0758668 NA NA 2.0521944 4.970290 1.3824542
#> 221 1.0880222 0.6435345 2.6519769 10.111091 0.7392714 10.442619 NA
#> 222 0.7335175 0.7335175 NA NA 2.3366923 11.128418 NA
#> 225 0.5248384 0.5248384 NA NA 5.1318609 11.618993 NA
#> 228 0.7767741 0.4624698 2.5397977 12.930338 0.9318105 12.801999 NA
#> 229 0.9039016 0.9039016 NA NA 1.9875757 10.625249 NA
#> 232 0.9872534 0.6272225 2.2864089 4.529785 1.0599593 4.357240 0.8573274
#> 233 0.9872534 0.6272225 2.2864089 4.529785 1.0599593 4.357240 0.8573274
#> 235 0.8349853 0.8349853 1.9585039 12.684587 0.8218319 12.277238 NA
#> 236 0.9147026 0.9147026 NA NA 5.6891398 11.225742 NA
#> 237 1.5763081 1.5763081 NA NA 5.0780515 15.319847 6.6301060
#> 238 1.5763081 1.5763081 NA NA 5.0780515 15.319847 6.6301060
#> 240 1.5763081 1.5763081 NA NA 5.0780515 15.319847 6.6301060
#> 242 1.5864088 1.5864088 NA NA 2.9988610 6.335070 2.3480977
#> 243 0.7000964 0.4180970 2.7394740 13.155918 0.7253125 12.908904 NA
#> 245 0.9360331 0.9360331 NA NA 5.4609223 8.784277 6.4241875
#> 246 0.9360331 0.9360331 NA NA 5.4609223 8.784277 6.4241875
#> 248 1.1881624 1.1881624 NA NA 2.7107625 7.485642 3.9065761
#> 251 0.6196609 0.6196609 NA NA 2.0471215 18.118018 NA
#> 252 0.6196609 0.6196609 NA NA 2.0471215 18.118018 NA
#> 253 0.9857557 0.9857557 1.7586717 12.538608 0.5508093 11.830971 NA
#> 255 3.5343401 3.5343401 NA NA 5.6112409 5.353093 4.5608152
#> 256 0.7471482 0.7471482 NA NA 0.8865055 11.032798 NA
#> 257 1.2440698 1.2440698 NA NA 5.0770781 10.949145 6.5328956
#> 259 0.5716752 0.5716752 NA NA 1.9127607 11.079639 NA
#> 260 1.5336580 1.5336580 NA NA 0.8327309 5.842996 0.8310632
#> 263 0.6992226 0.6992226 NA NA 2.7737899 10.795754 NA
#> 265 0.8804012 0.8804012 NA NA 1.3559120 9.736512 NA
#> 266 1.7011398 1.7011398 NA NA 0.3267449 4.330747 0.2076643
#> 270 2.1967634 1.1526784 2.4964781 7.664156 1.0466404 8.045507 1.2705901
#> 272 1.4379270 1.4379270 NA NA 2.2908810 5.647073 2.3750592
#> 274 0.4392427 0.4392427 NA NA 0.8198382 12.915386 NA
#> 275 1.0315095 1.0315095 NA NA 4.0915465 11.369691 NA
#> 276 1.5599561 1.5599561 NA NA 0.6538412 6.522996 1.1581900
#> 277 0.6744958 0.6744958 NA NA 2.7857533 9.296354 NA
#> 279 1.0236475 1.0236475 NA NA 4.8512276 6.437306 6.0863878
#> 280 1.2704995 1.2704995 NA NA 4.6939228 8.992824 6.2252369
#> 282 0.9935949 0.9935949 NA NA 1.0757865 13.013089 NA
#> 285 0.9088697 0.6346895 1.9563733 8.228779 1.2951527 8.263990 NA
#> 286 1.5377875 1.5377875 NA NA 2.7988468 4.326174 1.5855784
#> 287 0.8865933 0.8865933 NA NA 2.4985646 7.870504 6.1363560
#> 288 0.8865933 0.8865933 NA NA 2.4985646 7.870504 6.1363560
#> 291 1.0796687 1.0796687 NA NA 2.7253570 4.184793 2.8427097
#> 293 0.5863849 0.5863849 NA NA 4.7734831 10.039788 NA
#> 295 0.6009495 0.6009495 NA NA 2.8542954 7.788941 NA
#> 296 1.0516373 1.0516373 NA NA 3.1885322 12.201088 NA
#> 297 0.5732814 0.5732814 NA NA 2.7886737 10.875528 NA
#> 298 0.5732814 0.5732814 NA NA 2.7886737 10.875528 NA
#> 299 1.6474111 1.6474111 NA NA 5.2621976 8.351219 5.9699880
#> 301 0.7755726 0.7755726 NA NA 2.4332531 12.867502 NA
#> 303 0.4170526 0.4170526 NA NA 2.3412265 9.694792 NA
#> 305 1.3091568 1.3091568 NA NA 5.7300529 12.494781 6.6231563
#> 306 0.8942070 0.8942070 NA NA 2.1527950 12.630242 NA
#> 307 0.8942070 0.8942070 NA NA 2.1527950 12.630242 NA
#> 308 0.7564918 0.4945771 0.9950738 6.811249 0.7116013 6.836896 NA
#> 312 0.7474307 0.7474307 2.0515078 12.916014 0.7635263 12.484552 NA
#> 314 1.9400638 1.9400638 NA NA 0.7046383 9.323165 1.4207090
#> 317 1.3754663 0.6962531 2.3761712 9.503131 1.4872255 9.619952 NA
#> 320 1.5861301 1.0776961 2.6022023 7.692274 2.5611897 7.692102 6.0661427
#> 321 1.5861301 1.0776961 2.6022023 7.692274 2.5611897 7.692102 6.0661427
#> 322 0.7486829 0.7486829 NA NA 0.4060345 9.594926 NA
#> 327 0.9864697 0.9864697 NA NA 0.3747033 4.560371 0.5245918
#> 328 1.4292787 1.4292787 NA NA 4.6236368 7.881004 5.4871571
#> 330 1.1401586 1.1401586 NA NA 4.9624796 10.032205 6.5188896
#> 331 1.0483855 1.0483855 NA NA 1.1429980 9.778219 6.0703879
#> 332 1.0483855 1.0483855 NA NA 1.1429980 9.778219 6.0703879
#> 333 0.9156340 0.9048096 0.2414632 8.679245 1.7158581 8.351301 4.1888113
#> 336 3.1244464 2.4160958 2.3109888 2.014368 0.5585263 3.371832 0.2148246
#> 338 0.9549307 0.9549307 NA NA 2.1758702 10.711139 NA
#> 339 0.9310508 0.9310508 1.4831086 3.812898 0.5958514 3.293249 0.4972954
#> 340 1.0463324 0.6417115 2.2028885 6.831337 1.0293193 6.702129 NA
#> 341 3.2718424 2.0436913 2.1273579 2.251932 1.5320368 2.364633 0.3746104
#> 342 1.8857419 1.8857419 NA NA 3.1002661 3.426236 0.8947707
#> 343 0.7001329 0.3935249 2.3238072 10.790947 1.0252456 10.945529 NA
#> 344 1.1746841 1.1746841 NA NA 0.9378058 10.050411 4.4938667
#> 346 1.5034330 1.5034330 NA NA 2.0040254 10.127068 4.2662140
#> 350 1.2917549 1.2917549 NA NA 5.0794294 6.107429 5.2227689
#> 354 0.9567759 0.9567759 NA NA 4.7558343 5.935145 5.6919180
#> 357 3.5130625 3.5130625 NA NA 3.5491119 8.015232 4.0271629
#> 358 2.0350385 2.0350385 NA NA 2.9236395 6.807651 4.4565040
#> 360 2.0350385 2.0350385 NA NA 2.9236395 6.807651 4.4565040
#> 361 1.0233370 1.0233370 NA NA 5.8164566 9.766679 6.5575207
#> 362 1.3549521 1.3549521 2.1014401 10.237026 0.8960631 11.059375 1.4831675
#> 364 0.7991327 0.7991327 NA NA 2.3202186 10.293947 NA
#> 365 0.4818421 0.4818421 NA NA 2.4603955 17.723646 NA
#> 368 2.0649632 2.0649632 NA NA 4.5338399 13.457133 6.0836994
#> 370 1.6440213 1.6440213 NA NA 0.9909542 5.520385 1.0195641
#> 372 2.1088211 1.5588160 1.9596785 10.597668 0.9547622 10.752436 5.8228192
#> 375 1.5309438 1.5309438 NA NA 5.1540813 12.312167 6.2821526
#> 376 1.0939749 1.0939749 NA NA 2.6202881 6.915611 4.4538453
#> 378 0.4899501 0.4899501 NA NA 5.6128703 13.102239 NA
#> 379 0.6274954 0.6274954 NA NA 1.1382454 9.393800 NA
#> 380 1.0448656 1.0448656 NA NA 5.9525599 10.083847 NA
#> 384 3.3807780 3.3807780 NA NA 1.6037111 6.783508 2.0659663
#> 386 0.5490811 0.5490811 NA NA 1.9855173 10.221115 NA
#> 387 0.5490811 0.5490811 NA NA 1.9855173 10.221115 NA
#> 389 3.0879871 3.0879871 NA NA 5.1982036 6.213375 4.1613342
#> 391 0.7062619 0.7062619 NA NA 2.4242366 8.113277 NA
#> 394 0.7998367 0.7998367 NA NA 3.3387424 9.213679 NA
#> 395 1.4755404 1.4755404 NA NA 1.6108049 10.518916 5.6764686
#> 397 2.0091568 1.0916682 2.4592236 5.583165 1.3712891 5.789522 0.9112142
#> 399 0.6258898 0.4734413 1.5471002 8.360099 4.1335653 8.016154 NA
#> 401 1.2548501 0.6624716 2.3566612 9.932889 0.9613178 9.693764 NA
#> 404 0.8939560 0.8939560 NA NA 4.5803310 12.759363 NA
#> 405 1.2111865 1.2111865 NA NA 2.3856251 5.307925 2.6674183
#> 408 1.0680948 0.7193997 2.2781947 10.081042 1.0862987 10.181390 NA
#> 409 1.8924337 1.8924337 NA NA 2.5443588 9.279148 4.5849528
#> 410 1.0002044 1.0002044 NA NA 5.0301698 10.543528 NA
#> 411 2.8615248 1.6457951 1.8299680 11.581750 1.1535189 11.788575 5.2775387
#> 414 0.8811392 0.8811392 NA NA 2.3795238 7.958016 6.2267455
#> 416 0.7982567 0.4162785 2.3845901 14.207251 1.1340646 14.330141 NA
#> 419 1.6551785 1.6551785 NA NA 5.5456395 8.804236 6.0260053
#> 420 1.0612794 1.0612794 NA NA 5.4871921 8.817652 6.3760243
#> 422 3.5996821 3.5996821 NA NA 1.6192638 4.837125 0.7291239
#> 427 2.8125159 1.6250497 2.3940384 5.272021 0.7601546 5.868179 0.8418771
#> 428 2.8125159 1.6250497 2.3940384 5.272021 0.7601546 5.868179 0.8418771
#> 430 0.7148534 0.7148534 NA NA 5.4786411 7.816309 NA
#> 433 0.8109830 0.8109830 NA NA 5.2343760 11.557750 NA
#> 437 0.8412667 0.8412667 NA NA 2.4015542 7.305064 5.9981247
#> 439 2.8504330 2.8504330 NA NA 5.6894334 4.489525 4.7539040
#> 441 2.8504330 2.8504330 NA NA 5.6894334 4.489525 4.7539040
#> 443 1.9375683 1.9375683 NA NA 2.2303608 8.455138 2.6705919
#> 445 0.8217456 0.8217456 NA NA 0.6120840 12.631560 NA
#> 447 1.5447062 1.5447062 NA NA 5.5743185 10.487248 6.1181961
#> 450 1.2515303 1.2515303 NA NA 1.2754451 11.225814 6.0753329
#> 453 0.5794020 0.3418123 1.9158332 11.829012 0.9001452 11.750018 NA
#> 454 0.5794020 0.3418123 1.9158332 11.829012 0.9001452 11.750018 NA
#> 457 0.9890126 0.9890126 NA NA 5.7470070 9.480314 NA
#> 458 0.9890126 0.9890126 NA NA 5.7470070 9.480314 NA
#> 460 1.7150692 1.7150692 NA NA 2.5095297 5.546443 2.3953832
#> 461 0.6495001 0.6495001 NA NA 2.5033097 11.843515 NA
#> 464 0.6734981 0.6734981 NA NA 2.8253294 11.249968 NA
#> 465 0.8555082 0.8555082 NA NA 4.6189505 7.934053 6.4142382
#> 466 0.5824151 0.5824151 NA NA 4.7196194 13.372298 NA
#> 467 1.4382279 1.4382279 NA NA 5.7829063 10.979115 6.4375378
#> 468 0.8953279 0.8953279 NA NA 5.4417552 8.646469 6.6200856
#> 469 1.2353559 1.2353559 3.1550982 4.903797 1.3227556 5.673476 1.5114489
#> 470 0.4869360 0.4869360 NA NA 2.4936551 15.780050 NA
#> 471 1.3494676 1.3494676 NA NA 4.9812861 6.631962 5.4957409
#> 473 1.3750723 1.3750723 NA NA 2.2375015 14.669470 NA
#> 475 1.2652916 1.2652916 NA NA 5.1762835 13.253081 NA
#> 476 0.9041080 0.9041080 NA NA 0.8406026 7.948348 3.3682176
#> 479 0.5719003 0.5719003 NA NA 2.3476324 18.260754 NA
#> 480 0.5719003 0.5719003 NA NA 2.3476324 18.260754 NA
#> 481 1.0913351 0.6057451 2.3988301 10.102904 1.1650959 10.248284 NA
#> 482 1.8038011 1.8038011 NA NA 3.1061545 6.328173 3.7267989
#> 483 0.7929511 0.7929511 NA NA 2.9478731 9.743279 NA
#> 486 2.0494969 1.3828849 2.0444975 9.873982 5.2731825 11.242051 5.9137826
#> 488 1.7795910 1.7795910 NA NA 0.6267952 5.133676 0.3931901
#> 490 1.5018619 1.5018619 NA NA 0.7181485 7.883001 1.7061269
#> 491 1.5018619 1.5018619 NA NA 0.7181485 7.883001 1.7061269
#> 492 0.9936782 0.9936782 NA NA 5.6440554 10.841074 NA
#> 493 0.7003740 0.7003740 NA NA 2.3163527 16.575701 NA
#> 494 1.6525193 1.6525193 1.5925756 5.174180 0.5751369 4.233156 0.4008074
#> 495 0.5950246 0.5950246 3.0740721 10.519111 0.8381449 10.909025 NA
#> 496 1.4582159 1.4582159 NA NA 3.1350631 7.680595 3.1791194
#> 498 0.7529821 0.7529821 NA NA 2.0945933 8.905403 NA
#> 499 0.7529821 0.7529821 NA NA 2.0945933 8.905403 NA
#> 500 1.9384481 1.3530192 2.2554363 2.496550 5.8011356 3.847010 0.7231269
#> 501 1.9945506 1.1718772 2.0127634 9.659675 0.5750563 10.128055 6.1142017
#> 502 1.1588701 1.1588701 NA NA 3.0861609 7.464089 3.9623005
#> 504 1.4049630 1.4049630 NA NA 4.4260549 5.602646 4.5019378
#> 505 1.6786893 1.1524342 2.0401909 12.025919 1.4522317 12.075055 NA
#> 509 1.1207480 1.1207480 NA NA 5.6739990 11.314837 NA
#> 513 1.6477686 1.6477686 NA NA 5.6272766 3.586008 4.4854464
#> 514 1.6477686 1.6477686 NA NA 5.6272766 3.586008 4.4854464
#> 515 1.4557079 1.4557079 NA NA 3.0303834 4.402824 1.7025240
#> 517 2.7369191 2.7369191 NA NA 5.8469929 5.645054 4.9467474
#> 518 1.3259250 1.3259250 2.7907400 6.379267 0.6026376 7.244570 0.9306075
#> 519 0.9527003 0.9527003 NA NA 5.0802181 12.242515 NA
#> 520 0.7702132 0.7702132 NA NA 4.9509541 5.340189 6.0080600
#> 521 1.2534643 0.8761367 1.7099772 4.490342 0.7375741 4.087043 0.5751990
#> 522 1.2238207 1.2238207 NA NA 6.0576628 11.870086 6.5680391
#> 523 2.3341764 2.3341764 NA NA 2.1622238 10.928227 4.9554389
#> 525 0.8999648 0.8999648 1.2611850 4.217990 0.5657408 3.801510 0.4566400
#> 526 1.2614322 1.2614322 NA NA 2.8527457 3.500472 1.5548265
#> 527 1.9460898 1.9460898 1.4500622 3.910806 0.4011651 4.874150 0.2639840
#> 528 0.8116440 0.8116440 NA NA 2.3482523 10.419075 NA
#> 531 3.3631722 3.3631722 NA NA 5.0398424 6.225849 5.0923826
#> 534 1.5216846 1.0295037 1.8803822 10.071887 4.9758852 11.102445 NA
#> 535 2.2285391 2.2285391 NA NA 5.8914318 7.684056 5.5312271
#> 540 3.1308885 3.1308885 NA NA 3.8712302 5.561327 3.1637050
#> 542 1.2090070 1.2090070 1.5821319 3.789952 0.6363127 4.486881 0.6282973
#> 543 1.3570049 0.6941344 2.2981412 12.985739 1.3780037 13.117415 NA
#> 544 1.4017054 1.4017054 NA NA 5.0717760 11.966532 6.4927085
#> 546 1.2344106 1.2344106 NA NA 2.8051842 3.001640 1.3319009
#> 547 2.6339438 2.6339438 NA NA 5.2437498 3.509009 3.9184068
#> 549 2.0801672 2.0801672 1.5956017 2.363039 0.4677758 3.432336 0.2651867
#> 551 1.7353224 1.7353224 NA NA 0.8742707 4.728587 0.3591303
#> 552 3.1999446 3.1999446 NA NA 2.5538772 4.216161 0.6182950
#> 553 2.0616360 2.0616360 NA NA 2.5250685 4.078962 1.0594414
#> 554 1.5426292 1.5426292 NA NA 5.9163079 4.160652 5.7105061
#> 556 0.6086139 0.6086139 NA NA 0.5237934 9.259982 NA
#> 558 0.9495953 0.9495953 NA NA 2.6312532 7.308597 4.8404495
#> 559 1.3525467 0.9762831 1.8611164 8.973165 4.7863633 9.753361 6.4487178
#> 561 1.1047895 1.1047895 NA NA 5.0063684 5.890640 5.8855757
#> 562 1.1047895 1.1047895 NA NA 5.0063684 5.890640 5.8855757
#> 565 0.7082924 0.7082924 NA NA 0.8415993 8.580752 NA
#> 566 1.1161200 1.1161200 NA NA 0.7867886 6.733326 1.1989832
#> 567 2.4773277 2.4773277 NA NA 5.5764311 4.930684 4.8975036
#> 569 1.5364463 1.5364463 NA NA 2.8093253 5.938641 2.2820679
#> 571 1.4460633 0.9619972 1.8081921 4.217660 5.0186649 3.142332 1.0034930
#> 572 1.9620447 1.9620447 NA NA 1.6083100 5.416645 1.6697987
#> 573 1.2941718 1.2941718 NA NA 2.5161241 12.209234 6.0040817
#> 574 0.6072923 0.6072923 NA NA 0.2013097 7.102537 NA
#> 575 1.3284196 1.3284196 NA NA 5.7071899 6.637866 5.6955727
#> 577 1.6331559 0.9393843 2.2045847 4.838591 1.7413609 4.875934 1.2937236
#> 579 2.7957572 2.7957572 NA NA 3.0768950 3.650346 0.5581026
#> 580 2.7957572 2.7957572 NA NA 3.0768950 3.650346 0.5581026
#> 581 1.0908882 1.0908882 3.5301455 6.762864 1.0281330 7.567542 1.9155915
#> 583 1.1239704 1.1239704 NA NA 4.2421167 16.376903 NA
#> 585 1.0866179 1.0866179 NA NA 5.4593968 6.426767 5.9394660
#> 586 1.2818324 1.2818324 2.1464196 4.665653 0.7105856 5.459371 0.8008469
#> 587 1.2818324 1.2818324 2.1464196 4.665653 0.7105856 5.459371 0.8008469
#> 588 1.1820174 0.7790280 2.9011092 11.929683 1.8336510 12.003729 NA
#> 590 3.5641413 3.5641413 NA NA 2.2498351 13.038588 2.2008147
#> 591 1.6381642 1.6381642 NA NA 4.6149428 8.343102 5.7104719
#> 593 1.5961529 1.5961529 NA NA 5.2575129 3.447811 3.5740658
#> 595 1.2637546 1.2637546 NA NA 2.1014113 7.103232 3.9372516
#> 596 2.4832543 1.3875575 2.6722696 7.051389 0.5554829 6.120341 0.6992043
#> 597 1.8241896 1.8241896 NA NA 4.2864651 4.812738 4.5279917
#> 598 0.7835917 0.7835917 NA NA 0.9822553 8.516488 NA
#> 599 0.7835917 0.7835917 NA NA 0.9822553 8.516488 NA
#> 603 2.5521288 2.5521288 NA NA 2.0314323 4.133559 0.8708476
#> 604 1.4684527 0.7399295 2.7306565 9.440219 0.6335929 8.998999 NA
#> 606 1.3048116 1.3048116 NA NA 2.7359803 15.538588 NA
#> 608 1.5003885 1.5003885 NA NA 5.3399279 6.752960 5.8776276
#> 610 1.5629901 1.5629901 NA NA 5.8277486 3.386062 5.1779858
#> 611 1.7713152 1.7713152 NA NA 0.5680459 9.271025 1.2444712
#> 612 0.7519149 0.7519149 NA NA 5.3784638 9.779899 NA
#> 614 0.7519149 0.7519149 NA NA 5.3784638 9.779899 NA
#> 615 0.7519149 0.7519149 NA NA 5.3784638 9.779899 NA
#> 616 1.1123253 1.1123253 NA NA 2.4110229 5.515970 3.0471797
#> 617 1.0347975 1.0347975 NA NA 2.8121975 8.613401 6.0472213
#> 618 3.0183770 1.7655821 2.1816572 2.983543 0.9510929 3.711516 0.4370000
#> 619 3.0183770 1.7655821 2.1816572 2.983543 0.9510929 3.711516 0.4370000
#> 620 2.0074095 2.0074095 NA NA 5.6077502 3.361662 4.4929978
#> 623 2.2144941 2.2144941 1.6229804 4.992113 1.0642503 3.281539 0.9871425
#> 624 2.0734706 2.0734706 NA NA 2.8650025 6.279761 1.7217797
#> 626 1.7075076 1.7075076 NA NA 3.9228053 5.531208 3.8287058
#> 630 2.2773688 2.2773688 NA NA 6.0081475 7.301299 5.8988929
#> 631 1.6071190 1.6071190 NA NA 3.9104454 11.564767 6.1083670
#> 634 1.3536434 1.3536434 NA NA 2.1742522 6.998808 3.2110326
#> 641 1.4448595 1.4448595 NA NA 0.4939544 13.007338 4.2861144
#> 642 0.5907318 0.5907318 NA NA 0.9251921 15.888375 NA
#> 643 0.7444761 0.7444761 NA NA 2.7449083 17.353863 NA
#> 644 0.7667073 0.7667073 NA NA 5.1501661 15.680364 NA
#> 645 1.3303544 1.3303544 NA NA 0.4900168 12.087363 4.9350083
#> 646 0.8000254 0.8000254 NA NA 5.1991367 15.898344 NA
#> BMR.xfold BMD.zSD.lower BMD.zSD.upper BMD.xfold.lower BMD.xfold.upper
#> 1 6.609214 0.97850954 4.0686985 Inf Inf
#> 2 5.347706 0.20008806 1.1095586 Inf Inf
#> 5 7.073198 0.75185882 1.4649978 Inf Inf
#> 6 7.073198 0.75185882 1.4649978 Inf Inf
#> 7 7.073198 0.75185882 1.4649978 Inf Inf
#> 8 6.172119 0.05543773 0.6804425 0.561154372 Inf
#> 9 5.588358 0.08095270 0.7936032 0.329293169 Inf
#> 10 8.017772 0.42468408 1.0520363 Inf Inf
#> 11 6.181671 0.07579775 0.7005182 Inf Inf
#> 12 6.802633 0.03694799 0.4209217 Inf Inf
#> 13 5.820719 1.67433198 5.3037292 Inf Inf
#> 14 5.164472 1.25236329 2.8522870 7.563758934 Inf
#> 16 5.863188 1.32631865 6.0595553 5.925234838 Inf
#> 17 5.863188 1.32631865 6.0595553 5.925234838 Inf
#> 18 5.465323 2.76071129 7.1933590 7.679066254 Inf
#> 19 5.465323 2.76071129 7.1933590 7.679066254 Inf
#> 20 5.465323 2.76071129 7.1933590 7.679066254 Inf
#> 22 4.380763 0.36442365 2.2863213 Inf Inf
#> 23 4.380763 0.36442365 2.2863213 Inf Inf
#> 25 4.862095 1.87728956 5.7928776 Inf Inf
#> 26 4.425610 0.63687870 2.6421628 1.607320792 Inf
#> 27 4.425610 0.63687870 2.6421628 1.607320792 Inf
#> 28 4.425610 0.63687870 2.6421628 1.607320792 Inf
#> 29 4.425610 0.63687870 2.6421628 1.607320792 Inf
#> 30 4.425610 0.63687870 2.6421628 1.607320792 Inf
#> 31 5.860923 0.37773418 3.4329037 2.120911243 Inf
#> 32 5.860923 0.37773418 3.4329037 2.120911243 Inf
#> 33 5.860923 0.37773418 3.4329037 2.120911243 Inf
#> 34 5.860923 0.37773418 3.4329037 2.120911243 Inf
#> 35 6.168631 0.24887531 4.0820798 2.791737594 Inf
#> 36 6.168631 0.24887531 4.0820798 2.791737594 Inf
#> 37 6.168631 0.24887531 4.0820798 2.791737594 Inf
#> 39 6.168631 0.24887531 4.0820798 2.791737594 Inf
#> 40 6.168631 0.24887531 4.0820798 2.791737594 Inf
#> 41 6.168631 0.24887531 4.0820798 2.791737594 Inf
#> 42 6.168631 0.24887531 4.0820798 2.791737594 Inf
#> 43 6.168631 0.24887531 4.0820798 2.791737594 Inf
#> 44 4.573695 0.32686514 3.1332891 5.738912687 Inf
#> 46 6.316887 2.43380228 6.3223929 Inf Inf
#> 47 6.316887 2.43380228 6.3223929 Inf Inf
#> 48 4.940865 0.35799216 4.2882933 2.320483615 Inf
#> 49 4.940865 0.35799216 4.2882933 2.320483615 Inf
#> 50 4.940865 0.35799216 4.2882933 2.320483615 Inf
#> 51 4.940865 0.35799216 4.2882933 2.320483615 Inf
#> 52 5.737279 0.30086446 3.1833272 1.307410467 Inf
#> 53 5.737279 0.30086446 3.1833272 1.307410467 Inf
#> 54 5.737279 0.30086446 3.1833272 1.307410467 Inf
#> 55 5.737279 0.30086446 3.1833272 1.307410467 Inf
#> 56 5.737279 0.30086446 3.1833272 1.307410467 Inf
#> 57 5.737279 0.30086446 3.1833272 1.307410467 Inf
#> 58 5.177716 0.46124416 1.4873687 Inf Inf
#> 59 4.962470 1.03576992 3.6179409 Inf Inf
#> 60 4.962470 1.03576992 3.6179409 Inf Inf
#> 61 5.158766 0.48406738 1.2370211 0.808097974 Inf
#> 62 5.158766 0.48406738 1.2370211 0.808097974 Inf
#> 63 5.158766 0.48406738 1.2370211 0.808097974 Inf
#> 64 5.158766 0.48406738 1.2370211 0.808097974 Inf
#> 65 5.158766 0.48406738 1.2370211 0.808097974 Inf
#> 67 6.677576 0.26644454 4.2871164 Inf Inf
#> 68 6.677576 0.26644454 4.2871164 Inf Inf
#> 69 6.677576 0.26644454 4.2871164 Inf Inf
#> 70 6.677576 0.26644454 4.2871164 Inf Inf
#> 71 5.840236 3.09334793 6.6162300 7.323353364 Inf
#> 72 5.840236 3.09334793 6.6162300 7.323353364 Inf
#> 73 5.840236 3.09334793 6.6162300 7.323353364 Inf
#> 75 4.972785 0.63064808 4.7996149 5.945710618 Inf
#> 76 4.972785 0.63064808 4.7996149 5.945710618 Inf
#> 77 4.972785 0.63064808 4.7996149 5.945710618 Inf
#> 79 5.236113 0.52106128 5.9739107 5.919751612 Inf
#> 80 5.236113 0.52106128 5.9739107 5.919751612 Inf
#> 81 5.980553 0.42901273 4.3080978 5.248292886 Inf
#> 82 5.980553 0.42901273 4.3080978 5.248292886 Inf
#> 83 5.980553 0.42901273 4.3080978 5.248292886 Inf
#> 84 5.980553 0.42901273 4.3080978 5.248292886 Inf
#> 85 9.765941 1.25476148 2.7589141 3.944767854 Inf
#> 86 11.185391 0.24296501 0.8254193 2.323655028 Inf
#> 87 11.170683 0.28244583 0.9252443 2.789277177 Inf
#> 88 18.051589 2.64963205 5.5727686 Inf Inf
#> 91 11.653948 1.04939875 1.9503267 Inf Inf
#> 95 17.349849 1.99350628 5.0456881 6.137589248 Inf
#> 99 13.184704 1.71972684 5.2546852 Inf Inf
#> 102 8.452213 1.52079518 3.8197300 Inf Inf
#> 103 7.959897 0.46760570 2.8942164 1.944016318 Inf
#> 104 7.959897 0.46760570 2.8942164 1.944016318 Inf
#> 106 6.609855 0.21744945 1.5471627 0.428071765 2.5957963
#> 109 16.612407 1.54015368 3.7311047 Inf Inf
#> 110 9.268869 0.37327629 1.2105842 1.951273142 Inf
#> 111 4.893943 0.66647676 1.8535634 0.596011289 1.4002372
#> 115 13.532062 1.25523264 2.4785285 2.184471756 4.1050629
#> 116 8.370532 2.62074447 6.1892385 6.399079578 Inf
#> 117 19.057483 1.33538267 3.2723752 Inf Inf
#> 120 10.178300 0.49685136 4.8689356 0.720186659 5.3855908
#> 121 11.774346 1.07799896 3.2324908 6.134109074 Inf
#> 122 13.018466 0.65089363 1.4477020 4.613686534 5.6633468
#> 123 11.262816 0.39650460 1.0210325 0.935884812 6.2063487
#> 125 11.840420 1.64980574 4.7578654 Inf Inf
#> 127 16.661441 2.10623596 4.9747503 Inf Inf
#> 128 10.745467 0.45072040 4.9073419 5.535135720 Inf
#> 129 13.115891 2.95611239 5.6794781 5.141147897 6.5072131
#> 131 6.444924 0.37828212 3.9147635 0.641720795 4.6921648
#> 132 6.444924 0.37828212 3.9147635 0.641720795 4.6921648
#> 133 7.809562 0.28329273 0.9217664 0.371304357 1.0567280
#> 134 12.192005 0.45119793 1.3369379 Inf Inf
#> 137 13.697747 2.88540036 6.0230168 Inf Inf
#> 140 12.424335 1.39985045 3.1165736 Inf Inf
#> 141 11.715823 0.46705147 4.3039298 Inf Inf
#> 142 9.550364 1.05386556 3.3648968 5.999140808 Inf
#> 143 8.280927 1.21655973 3.4294082 2.333290039 4.5329127
#> 147 16.074408 2.74155251 5.3503657 Inf Inf
#> 148 16.170012 1.72942685 4.9473537 6.574719043 Inf
#> 149 8.613130 2.33640966 5.5962017 3.329265202 6.0213409
#> 150 6.228886 1.30775683 3.0619063 2.633213483 5.1889529
#> 152 11.281891 1.68457955 4.6751632 6.392129679 Inf
#> 156 4.680233 1.62293691 5.9759268 1.316830682 3.9749306
#> 157 8.874974 0.27525816 1.6705374 0.448004236 2.7783783
#> 158 11.113667 1.07953096 2.3571861 4.876575034 Inf
#> 161 12.091282 0.60384236 5.6978525 Inf Inf
#> 164 16.600846 0.48326750 1.0560307 Inf Inf
#> 165 9.457594 1.02570209 1.9393894 2.006597935 3.1213521
#> 166 10.568354 0.76647179 5.2718059 Inf Inf
#> 167 12.039017 1.17918063 2.7286462 Inf Inf
#> 169 9.162234 0.96799087 1.9783744 3.147459144 5.1690481
#> 170 8.642749 0.50907354 5.1415268 1.604331864 Inf
#> 171 8.200742 1.50525257 3.4011695 1.955152886 3.7737373
#> 172 8.200742 1.50525257 3.4011695 1.955152886 3.7737373
#> 174 6.999308 0.53075189 4.6854038 0.666553386 5.0930986
#> 178 10.396666 0.53046359 1.1464625 1.683797922 Inf
#> 179 11.958109 1.14853940 2.4913773 Inf Inf
#> 180 12.563182 1.54875481 3.5028687 Inf Inf
#> 181 12.563182 1.54875481 3.5028687 Inf Inf
#> 183 7.409795 0.08183997 0.5980861 0.191250605 1.6257035
#> 184 7.049409 1.75885065 4.3783442 2.228962042 5.6185328
#> 185 7.049409 1.75885065 4.3783442 2.228962042 5.6185328
#> 186 8.010933 2.93461899 6.0719877 5.699704509 Inf
#> 188 4.584806 0.50278548 1.8172104 0.398838259 1.5901895
#> 190 11.131602 0.58190671 1.6479060 Inf Inf
#> 193 3.345752 0.35654678 1.4592305 0.166561570 1.1565046
#> 196 11.050749 0.43301683 0.8971572 0.740395116 1.2380754
#> 197 7.936032 1.74049030 5.8493362 5.058661772 Inf
#> 198 9.315398 1.73688931 5.1197523 5.388840084 Inf
#> 199 11.305100 1.60498652 5.3246257 5.203053760 Inf
#> 200 11.305100 1.60498652 5.3246257 5.203053760 Inf
#> 201 8.688686 0.35183367 1.7316828 0.362628186 1.4953577
#> 202 8.688686 0.35183367 1.7316828 0.362628186 1.4953577
#> 203 8.688686 0.35183367 1.7316828 0.362628186 1.4953577
#> 205 15.094411 0.22352954 1.1815352 Inf Inf
#> 207 3.519730 0.29910845 1.8306631 0.199774284 1.4325785
#> 208 7.620460 0.57763293 5.4940389 1.085545152 Inf
#> 211 12.775912 0.41079211 1.5942930 Inf Inf
#> 214 6.991935 0.36258894 1.5883451 0.452166289 1.6600473
#> 215 11.356575 2.93270043 5.9633443 4.127378018 6.3349736
#> 217 9.617183 1.66564175 4.0856814 6.348263101 Inf
#> 218 11.997807 0.32329297 1.0469995 0.647250519 1.6091792
#> 220 4.760624 1.37853596 3.1602333 1.011869465 2.2765836
#> 221 11.830089 0.31337952 1.3891586 Inf Inf
#> 222 10.248211 1.43903732 3.7180841 Inf Inf
#> 225 10.579865 2.77040545 5.6067950 Inf Inf
#> 228 11.354430 0.48380870 1.5400128 Inf Inf
#> 229 9.806566 1.26495795 3.0819744 6.038177033 Inf
#> 232 4.292819 0.40044672 6.5720202 0.372516223 5.9756156
#> 233 4.292819 0.40044672 6.5720202 0.372516223 5.9756156
#> 235 10.664641 0.31820753 1.5828158 1.301585711 Inf
#> 236 12.010635 2.82937876 5.8296064 6.441719601 Inf
#> 237 14.176242 2.74132244 5.6217506 6.059639702 Inf
#> 238 14.176242 2.74132244 5.6217506 6.059639702 Inf
#> 240 14.176242 2.74132244 5.6217506 6.059639702 Inf
#> 242 6.179380 1.79369036 5.2099565 1.536556109 4.4694075
#> 243 11.464039 0.45259236 0.9852054 Inf Inf
#> 245 9.140814 2.60802191 6.3443547 4.773931693 Inf
#> 246 9.140814 2.60802191 6.3443547 4.773931693 Inf
#> 248 7.699912 1.67808514 5.1396151 2.700837923 Inf
#> 251 19.719388 1.32526215 3.0171899 Inf Inf
#> 252 19.719388 1.32526215 3.0171899 Inf Inf
#> 253 10.397567 0.27487668 0.8684603 1.202020409 Inf
#> 255 4.536452 3.02720467 5.8125246 1.185965587 4.9408312
#> 256 10.146508 0.34554032 1.8031346 Inf Inf
#> 257 10.058956 3.07025121 5.3715482 6.218567131 Inf
#> 259 12.006209 1.26617938 2.6694875 Inf Inf
#> 260 5.843978 0.30500837 2.5122396 0.378730892 2.5190324
#> 263 11.553591 1.79186086 4.7606571 Inf Inf
#> 265 10.512135 1.00581659 1.7217125 5.981752578 Inf
#> 266 4.549637 0.11229115 1.1562790 0.089201977 0.6082146
#> 270 7.935151 0.36344217 4.8271636 0.571262850 6.0547691
#> 272 5.665327 1.54004500 3.3695645 1.714682866 3.6378978
#> 274 11.742147 0.33666389 1.6530558 Inf Inf
#> 275 12.207078 2.02820057 5.2593819 6.170577485 Inf
#> 276 6.266743 0.27957255 1.4053942 0.623857241 2.4264491
#> 277 9.914290 1.67314034 4.8813673 6.260515221 Inf
#> 279 6.021363 2.57101943 5.4991451 5.108155638 6.3704832
#> 280 8.345108 2.69574649 5.3067808 5.531666056 6.4733040
#> 282 12.073975 0.40904089 2.6783910 5.386193008 Inf
#> 285 9.353255 0.52323314 5.1004381 6.448319399 Inf
#> 286 4.044806 1.57343097 4.8340198 1.004095616 2.8864003
#> 287 7.384116 1.60569926 3.5771123 4.539553747 Inf
#> 288 7.384116 1.60569926 3.5771123 4.539553747 Inf
#> 291 4.165686 1.61304816 4.7440724 2.054933805 4.8155223
#> 293 10.806789 2.28426943 5.7598313 Inf Inf
#> 295 7.242857 1.83136398 4.8498220 6.283356411 Inf
#> 296 11.222799 1.61923981 4.8209580 6.446861410 Inf
#> 297 10.004959 1.75515628 4.9422872 Inf Inf
#> 298 10.004959 1.75515628 4.9422872 Inf Inf
#> 299 7.920161 2.73919695 5.6174409 4.537291440 6.2201378
#> 301 13.841195 1.57349911 3.9836203 Inf Inf
#> 303 8.857838 1.45426811 3.6196180 Inf Inf
#> 305 11.680806 2.74748436 5.9480926 5.959090533 Inf
#> 306 11.628496 1.31584676 3.3142276 Inf Inf
#> 307 11.628496 1.31584676 3.3142276 Inf Inf
#> 308 7.780480 0.29506317 3.0199956 4.254602701 Inf
#> 312 10.951725 0.32210163 1.4464539 Inf Inf
#> 314 9.708470 0.31620212 1.3244315 0.720852189 2.8039243
#> 317 11.200578 0.68145620 6.3611319 1.486068665 Inf
#> 320 6.465456 0.51980328 5.7343561 0.917012370 6.5546099
#> 321 6.465456 0.51980328 5.7343561 0.917012370 6.5546099
#> 322 8.849025 0.14938717 1.0207350 Inf Inf
#> 327 4.452148 0.11967646 1.0401929 0.195348516 1.6577848
#> 328 8.176794 2.15278536 5.5732310 3.537939516 6.1536307
#> 330 9.245448 2.89498554 5.3843413 6.133839112 Inf
#> 331 10.557257 0.77715707 1.4762641 5.166992021 Inf
#> 332 10.557257 0.77715707 1.4762641 5.166992021 Inf
#> 333 7.801578 0.93447304 2.7014552 2.315744699 Inf
#> 336 3.987417 0.29731794 1.3828385 0.151027996 0.7370402
#> 338 11.437571 1.50483906 3.0487558 5.435990512 Inf
#> 339 3.170032 0.18131969 1.0088612 0.144550692 0.9361412
#> 340 5.784045 0.52312717 5.1958248 1.581893139 Inf
#> 341 3.132075 0.55429742 5.7718558 0.247759130 0.9522847
#> 342 2.799031 1.79473176 5.9520232 0.518304035 1.9018699
#> 343 12.302919 0.55519755 5.6084166 Inf Inf
#> 344 9.386265 0.41050756 2.0533236 2.060511247 Inf
#> 346 10.639970 1.12797148 3.0911075 3.100615311 6.0301429
#> 350 6.153925 2.53621646 5.9795879 2.919533786 6.0579747
#> 354 6.170927 2.27138538 5.7358531 3.729207860 6.3344473
#> 357 8.211528 2.17027304 4.7299005 2.748717002 5.1089096
#> 358 6.401878 1.70642374 4.3812001 3.592866018 5.4785532
#> 360 6.401878 1.70642374 4.3812001 3.592866018 5.4785532
#> 361 10.315734 2.77164549 6.0800988 5.523600805 Inf
#> 362 10.432780 0.42488885 1.3612369 0.950713483 Inf
#> 364 11.015759 1.35631407 3.9482498 6.116495321 Inf
#> 365 16.112188 1.51507954 3.7087226 Inf Inf
#> 368 12.513653 2.68685892 5.2631287 5.372229614 6.3760247
#> 370 5.506560 0.38959091 2.2272543 0.503732566 2.2560210
#> 372 12.262440 0.43168938 4.3245839 5.064185119 Inf
#> 375 12.986136 2.72596759 5.7854763 5.147440713 Inf
#> 376 6.613113 1.67497503 4.2608419 3.230241717 Inf
#> 378 11.983534 2.80885642 6.0493796 Inf Inf
#> 379 10.044223 0.39958196 2.7913521 Inf Inf
#> 380 9.484078 3.19121913 6.0330978 5.757855434 Inf
#> 384 6.947876 0.83900191 2.4495022 1.324503954 3.0764073
#> 386 11.062375 1.39139459 2.7623036 Inf Inf
#> 387 11.062375 1.39139459 2.7623036 Inf Inf
#> 389 5.626303 2.38471036 5.6950050 1.252120890 5.0100759
#> 391 7.534332 1.43162683 3.9766076 5.881437620 Inf
#> 394 8.473869 1.59053072 4.8455224 6.493876912 Inf
#> 395 11.419236 0.91299791 2.4019524 5.236758636 6.0300079
#> 397 6.007350 0.47269962 6.1399990 0.441645392 1.9386531
#> 399 7.386885 0.58678810 4.9024458 Inf Inf
#> 401 8.406459 0.41247948 1.9597416 1.808817338 Inf
#> 404 11.704820 2.30323194 5.5256078 Inf Inf
#> 405 5.359396 1.48802589 3.7982782 1.854106107 4.4410965
#> 408 11.472711 0.49209232 4.7797975 Inf Inf
#> 409 9.824131 1.37232930 4.1176062 3.397031389 5.6597211
#> 410 9.750089 2.67782583 5.6571666 6.277773208 Inf
#> 411 14.077228 0.55214614 5.2737085 0.835070682 Inf
#> 414 7.446790 1.54644313 3.7563391 4.675890098 Inf
#> 416 16.048153 0.57103992 5.7120187 Inf Inf
#> 419 9.154518 3.01643160 5.7582422 4.454667912 6.2076045
#> 420 9.282633 2.59941851 5.8239482 4.994810496 Inf
#> 422 4.353907 1.08136166 2.2450742 0.537628909 1.0784105
#> 427 5.813539 0.44049003 1.2312424 0.600531494 1.3655704
#> 428 5.813539 0.44049003 1.2312424 0.600531494 1.3655704
#> 430 8.294884 3.11003882 5.9115909 5.959748471 Inf
#> 433 10.591996 2.95429136 5.5813685 Inf Inf
#> 437 6.848772 1.53954471 3.7611556 4.431727423 Inf
#> 439 3.843277 2.73897612 5.8700482 1.077465424 5.0228002
#> 441 3.843277 2.73897612 5.8700482 1.077465424 5.0228002
#> 443 8.583773 1.55012771 3.4384422 2.006763926 4.3319657
#> 445 11.635874 0.24885181 1.7730190 Inf Inf
#> 447 10.861058 2.67167471 6.0475253 4.118430525 6.5466679
#> 450 10.319887 0.89713656 1.6364676 5.143636334 Inf
#> 453 10.432280 0.49291097 4.8114751 Inf Inf
#> 454 10.432280 0.49291097 4.8114751 Inf Inf
#> 457 8.924420 2.95397705 6.1224920 5.862093858 Inf
#> 458 8.924420 2.95397705 6.1224920 5.862093858 Inf
#> 460 5.575966 1.51555559 4.1284671 1.763094570 3.8398589
#> 461 12.758150 1.49781631 4.2006366 Inf Inf
#> 464 10.383239 1.67750256 5.1249891 Inf Inf
#> 465 8.406276 2.26344376 5.5834726 5.190863194 Inf
#> 466 12.247232 2.47216394 5.8384901 Inf Inf
#> 467 10.370996 2.98412616 5.8970326 5.436215750 Inf
#> 468 7.937128 3.14646412 5.5666368 6.350040973 Inf
#> 469 5.525237 0.67558337 2.1715428 0.883026937 2.2991852
#> 470 17.156626 1.53615953 4.1273934 Inf Inf
#> 471 6.449810 2.44381942 5.9263373 3.362335705 6.2025526
#> 473 15.626026 1.37851705 3.3887887 4.957730063 Inf
#> 475 14.012261 2.57284026 6.0635216 5.596013765 Inf
#> 476 8.390585 0.35181993 1.9120592 1.372831217 Inf
#> 479 16.616906 1.55051252 3.5295052 Inf Inf
#> 480 16.616906 1.55051252 3.5295052 Inf Inf
#> 481 11.647343 0.59290513 5.3000812 Inf Inf
#> 482 6.476746 1.49174316 4.6941363 2.091069038 5.2154405
#> 483 10.329842 1.75332519 5.0613449 5.435643045 Inf
#> 486 11.594653 0.62508123 5.7068993 1.327086711 Inf
#> 488 4.922630 0.20461711 1.6845815 0.139945658 1.2568975
#> 490 7.477196 0.32356830 1.4338426 0.971756751 3.0973018
#> 491 7.477196 0.32356830 1.4338426 0.971756751 3.0973018
#> 492 11.411100 2.93033518 6.1810802 5.558239912 Inf
#> 493 15.138321 1.51510806 3.7392715 Inf Inf
#> 494 3.873826 0.18220941 1.0969609 0.091699534 0.8486895
#> 495 12.225549 0.37518670 1.5715812 Inf Inf
#> 496 7.690283 1.92555525 5.6517887 2.146849617 6.0728723
#> 498 9.534307 1.36558810 3.0277098 5.762503096 Inf
#> 499 9.534307 1.36558810 3.0277098 5.762503096 Inf
#> 500 2.773781 0.65667378 6.2902176 0.373623234 3.3879709
#> 501 11.530584 0.33731937 0.9197975 1.508058972 Inf
#> 502 7.617208 1.89109990 5.3403262 2.591205923 Inf
#> 504 5.621811 2.21981342 5.6568219 2.434121632 5.6965397
#> 505 13.807391 0.56359317 5.2624212 5.795155090 Inf
#> 509 10.490827 3.02457964 5.8110892 6.145402448 Inf
#> 513 3.142488 2.82669704 6.1106136 1.280102495 5.2509376
#> 514 3.142488 2.82669704 6.1106136 1.280102495 5.2509376
#> 515 4.111318 1.69251190 5.7986233 1.068040105 3.3844872
#> 517 4.913670 2.50987504 6.1097889 1.020668794 5.2178549
#> 518 6.934673 0.18681863 1.2570076 0.472633948 1.7840523
#> 519 13.060251 2.75999567 5.7929246 6.338097788 Inf
#> 520 5.599368 2.23211655 5.7085379 4.411957201 6.4752810
#> 521 3.975625 0.46888113 3.5368956 0.412540372 2.2564088
#> 522 12.413718 3.13307067 6.1573656 5.357729276 Inf
#> 523 10.059264 1.30750373 3.0842068 4.408059421 5.4651710
#> 525 3.649828 0.07147828 1.0011930 0.048498052 0.8778772
#> 526 3.253565 1.66602930 4.7801024 1.004363597 2.7209529
#> 527 5.271207 0.01267481 1.1158721 0.007461455 0.7837629
#> 528 11.144810 1.49647165 3.5311407 6.064214526 Inf
#> 531 6.189467 3.29076592 5.3622969 3.470973856 5.4352797
#> 534 11.620474 0.57587075 5.6502320 1.732666151 Inf
#> 535 7.360651 3.25243304 6.1717262 2.147243007 5.7371913
#> 540 5.311273 2.09802632 5.1109137 1.458393435 4.7290176
#> 542 4.499063 0.23982321 0.9989047 0.284675115 1.0044222
#> 543 15.013470 0.65235594 6.4260092 6.453090944 Inf
#> 544 11.053088 2.83893468 5.4797507 6.000722553 Inf
#> 546 2.727377 1.63856489 5.0203541 0.849091855 2.7034316
#> 547 2.950722 2.72792323 5.7943095 0.996722114 4.8068402
#> 549 3.998886 0.05399315 1.2442471 0.014320654 0.6768693
#> 551 4.314200 0.27996824 2.9680621 0.123733758 1.4896918
#> 552 3.282101 1.41586955 4.2784519 0.347847946 1.0906435
#> 553 3.623286 1.47301680 4.2390445 0.687419859 1.8230891
#> 554 4.303831 3.07905725 6.0763029 2.724727869 5.8528389
#> 556 9.871577 0.16711640 2.2687004 3.193289198 Inf
#> 558 7.624966 1.63151673 4.5223468 3.363446161 Inf
#> 559 10.284372 0.59329962 5.2313257 5.176477559 Inf
#> 561 5.582769 2.66774103 5.5482430 4.568013933 6.2629489
#> 562 5.582769 2.66774103 5.5482430 4.568013933 6.2629489
#> 565 7.922913 0.35369329 1.9728850 5.976877847 Inf
#> 566 6.894596 0.27440127 2.3879979 0.444798465 4.1009270
#> 567 4.510380 3.04662568 5.8599969 1.798504986 5.3875293
#> 569 5.816472 1.52421746 4.8285511 1.473564631 3.9997281
#> 571 4.106953 0.64467381 5.9696696 0.448604431 4.9243516
#> 572 5.434839 1.14264286 2.0822884 1.309733690 2.2514858
#> 573 12.889978 1.48412235 4.3165892 4.269357714 Inf
#> 574 7.540718 0.07897595 0.5722466 0.563141265 Inf
#> 575 6.631907 2.89367417 6.1680412 3.315818503 6.2557758
#> 577 4.979126 0.65520412 6.2161646 0.688726137 5.5777863
#> 579 2.588375 1.71979781 5.8334366 0.292697242 1.3384842
#> 580 2.588375 1.71979781 5.8334366 0.292697242 1.3384842
#> 581 7.068377 0.58618031 1.5088144 1.409797613 2.6648659
#> 583 17.733195 2.39865845 5.2992829 Inf Inf
#> 585 6.239645 2.80289650 6.1722055 3.950276091 Inf
#> 586 5.352737 0.31331655 1.2981207 0.454482941 1.4204213
#> 587 5.352737 0.31331655 1.2981207 0.454482941 1.4204213
#> 588 13.565940 0.45906313 4.8255941 Inf Inf
#> 590 13.012239 1.42463855 3.5561543 1.534388758 3.5978054
#> 591 8.805313 2.83479706 5.2682879 4.675475928 6.0753703
#> 593 2.980407 2.37205969 6.2112758 1.061635135 5.0651393
#> 595 6.753352 1.23459866 3.1105371 3.053248092 5.6494469
#> 596 6.230214 0.34643538 0.7061183 0.537200768 1.0041140
#> 597 4.740045 2.16859102 5.3652514 2.729597152 5.5368126
#> 598 9.029268 0.38133494 2.3607272 1.910081924 Inf
#> 599 9.029268 0.38133494 2.3607272 1.910081924 Inf
#> 603 3.686875 1.29618555 3.0446474 0.632688925 1.4249475
#> 604 7.830261 0.38533255 0.8633687 1.665082423 Inf
#> 606 16.500239 1.43708766 4.9137897 5.328617842 Inf
#> 608 6.458822 2.75629900 5.7006541 4.245740698 6.1784483
#> 610 3.062052 3.04378438 6.0023852 1.537420079 5.4386620
#> 611 9.677450 0.25304437 1.2327338 0.630969777 2.7434432
#> 612 10.538488 3.21741886 5.6953260 6.601291694 Inf
#> 614 10.538488 3.21741886 5.6953260 6.601291694 Inf
#> 615 10.538488 3.21741886 5.6953260 6.601291694 Inf
#> 616 5.622682 1.54405416 3.9836789 2.208028998 5.2513390
#> 617 9.239567 1.42731619 4.4521191 5.208723101 Inf
#> 618 4.274213 0.56990952 5.7413732 0.323578135 0.7493740
#> 619 4.274213 0.56990952 5.7413732 0.323578135 0.7493740
#> 620 2.864603 2.80741209 6.0552893 1.044011927 5.0611838
#> 623 3.055381 0.60165852 1.1093746 0.524417704 1.0267987
#> 624 5.922283 1.71616519 5.0135594 1.113832033 3.2169318
#> 626 5.507754 1.98395938 5.4333538 1.954210759 5.5281589
#> 630 7.436280 2.99251277 6.0940883 2.959495418 5.9721761
#> 631 10.694167 2.10569740 5.1906991 5.449552006 6.5326155
#> 634 7.210455 1.25345804 3.2662254 2.404386300 4.8405299
#> 641 12.014582 0.23273791 0.8898776 2.227135223 Inf
#> 642 17.229744 0.36546453 2.4410258 Inf Inf
#> 643 18.750255 1.63965480 4.8149657 Inf Inf
#> 644 17.085796 3.03104811 5.4289920 Inf Inf
#> 645 11.110192 0.27124408 0.8292255 2.915067056 Inf
#> 646 17.312389 2.97458678 5.4604316 Inf Inf
#> nboot.successful path_class
#> 1 1000 Lipid metabolism
#> 2 957 Lipid metabolism
#> 5 1000 Biosynthesis of other secondary metabolites
#> 6 1000 Membrane transport
#> 7 1000 Signal transduction
#> 8 648 Lipid metabolism
#> 9 620 Lipid metabolism
#> 10 872 Lipid metabolism
#> 11 909 Lipid metabolism
#> 12 565 Lipid metabolism
#> 13 1000 Lipid metabolism
#> 14 1000 Lipid metabolism
#> 16 1000 Membrane transport
#> 17 1000 Signal transduction
#> 18 718 Amino acid metabolism
#> 19 718 Biosynthesis of other secondary metabolites
#> 20 718 Translation
#> 22 975 Membrane transport
#> 23 975 Signal transduction
#> 25 938 Membrane transport
#> 26 962 Amino acid metabolism
#> 27 962 Metabolism of other amino acids
#> 28 962 Biosynthesis of other secondary metabolites
#> 29 962 Translation
#> 30 962 Membrane transport
#> 31 979 Amino acid metabolism
#> 32 979 Biosynthesis of other secondary metabolites
#> 33 979 Translation
#> 34 979 Membrane transport
#> 35 851 Amino acid metabolism
#> 36 851 Metabolism of other amino acids
#> 37 851 Lipid metabolism
#> 39 851 Energy metabolism
#> 40 851 Translation
#> 41 851 Biosynthesis of other secondary metabolites
#> 42 851 Membrane transport
#> 43 851 Signal transduction
#> 44 1000 Amino acid metabolism
#> 46 859 Energy metabolism
#> 47 859 Signal transduction
#> 48 833 Amino acid metabolism
#> 49 833 Metabolism of other amino acids
#> 50 833 Biosynthesis of other secondary metabolites
#> 51 833 Membrane transport
#> 52 890 Amino acid metabolism
#> 53 890 Metabolism of other amino acids
#> 54 890 Energy metabolism
#> 55 890 Translation
#> 56 890 Membrane transport
#> 57 890 Signal transduction
#> 58 940 Amino acid metabolism
#> 59 1000 Lipid metabolism
#> 60 1000 Amino acid metabolism
#> 61 635 Amino acid metabolism
#> 62 635 Metabolism of other amino acids
#> 63 635 Biosynthesis of other secondary metabolites
#> 64 635 Translation
#> 65 635 Membrane transport
#> 67 820 Amino acid metabolism
#> 68 820 Metabolism of other amino acids
#> 69 820 Biosynthesis of other secondary metabolites
#> 70 820 Membrane transport
#> 71 722 Energy metabolism
#> 72 722 Membrane transport
#> 73 722 Signal transduction
#> 75 953 Amino acid metabolism
#> 76 953 Lipid metabolism
#> 77 953 Energy metabolism
#> 79 962 Amino acid metabolism
#> 80 962 Signal transduction
#> 81 998 Amino acid metabolism
#> 82 998 Metabolism of other amino acids
#> 83 998 Translation
#> 84 998 Membrane transport
#> 85 500 Energy metabolism
#> 86 497 Nucleotide metabolism
#> 87 495 Nucleotide metabolism
#> 88 332 Translation
#> 91 500 Energy metabolism
#> 95 469 Translation
#> 99 500 Amino acid metabolism
#> 102 500 Lipid metabolism
#> 103 443 Metabolism of other amino acids
#> 104 443 Amino acid metabolism
#> 106 491 Translation
#> 109 500 Energy metabolism
#> 110 417 Lipid metabolism
#> 111 395 Lipid metabolism
#> 115 500 Energy metabolism
#> 116 353 Nucleotide metabolism
#> 117 500 Translation
#> 120 492 Translation
#> 121 483 Nucleotide metabolism
#> 122 498 Energy metabolism
#> 123 304 Membrane transport
#> 125 500 Nucleotide metabolism
#> 127 481 Translation
#> 128 291 Amino acid metabolism
#> 129 279 Signal transduction
#> 131 483 Metabolism of other amino acids
#> 132 483 Amino acid metabolism
#> 133 497 Translation
#> 134 405 Metabolism of other amino acids
#> 137 253 Amino acid metabolism
#> 140 500 Translation
#> 141 481 Lipid metabolism
#> 142 500 Amino acid metabolism
#> 143 499 Translation
#> 147 363 Amino acid metabolism
#> 148 500 Translation
#> 149 393 Amino acid metabolism
#> 150 500 Metabolism of other amino acids
#> 152 500 Translation
#> 156 500 Lipid metabolism
#> 157 487 Membrane transport
#> 158 500 Amino acid metabolism
#> 161 439 Metabolism of terpenoids and polyketides
#> 164 423 Energy metabolism
#> 165 500 Energy metabolism
#> 166 261 Signal transduction
#> 167 500 Translation
#> 169 500 Nucleotide metabolism
#> 170 466 Signal transduction
#> 171 500 Amino acid metabolism
#> 172 500 Metabolism of other amino acids
#> 174 359 Translation
#> 178 336 Nucleotide metabolism
#> 179 500 Translation
#> 180 500 Metabolism of other amino acids
#> 181 500 Nucleotide metabolism
#> 183 478 Nucleotide metabolism
#> 184 500 Metabolism of other amino acids
#> 185 500 Amino acid metabolism
#> 186 295 Nucleotide metabolism
#> 188 482 Metabolism of terpenoids and polyketides
#> 190 344 Translation
#> 193 483 Membrane transport
#> 196 498 Transport and catabolism
#> 197 500 Energy metabolism
#> 198 500 Metabolism of terpenoids and polyketides
#> 199 500 Amino acid metabolism
#> 200 500 Energy metabolism
#> 201 476 Energy metabolism
#> 202 476 Metabolism of other amino acids
#> 203 476 Amino acid metabolism
#> 205 496 Lipid metabolism
#> 207 479 Energy metabolism
#> 208 260 Amino acid metabolism
#> 211 493 Translation
#> 214 494 Translation
#> 215 305 Energy metabolism
#> 217 500 Energy metabolism
#> 218 497 Lipid metabolism
#> 220 500 Energy metabolism
#> 221 279 Translation
#> 222 500 Lipid metabolism
#> 225 317 Translation
#> 228 261 Nucleotide metabolism
#> 229 500 Amino acid metabolism
#> 232 415 Amino acid metabolism
#> 233 415 Metabolism of other amino acids
#> 235 480 Nucleotide metabolism
#> 236 251 Lipid metabolism
#> 237 336 Amino acid metabolism
#> 238 336 Metabolism of other amino acids
#> 240 336 Energy metabolism
#> 242 500 Signal transduction
#> 243 333 Transport and catabolism
#> 245 315 Nucleotide metabolism
#> 246 315 Metabolism of other amino acids
#> 248 500 Translation
#> 251 500 Energy metabolism
#> 252 500 Metabolism of terpenoids and polyketides
#> 253 499 Nucleotide metabolism
#> 255 275 Lipid metabolism
#> 256 479 Membrane transport
#> 257 293 Lipid metabolism
#> 259 500 Lipid metabolism
#> 260 473 Translation
#> 263 500 Amino acid metabolism
#> 265 500 Lipid metabolism
#> 266 446 Metabolism of terpenoids and polyketides
#> 270 303 Translation
#> 272 500 Energy metabolism
#> 274 468 Energy metabolism
#> 275 454 Metabolism of terpenoids and polyketides
#> 276 491 Metabolism of terpenoids and polyketides
#> 277 500 Energy metabolism
#> 279 370 Amino acid metabolism
#> 280 376 Amino acid metabolism
#> 282 441 Lipid metabolism
#> 285 415 Translation
#> 286 500 Translation
#> 287 500 Energy metabolism
#> 288 500 Amino acid metabolism
#> 291 500 Metabolism of terpenoids and polyketides
#> 293 377 Metabolism of terpenoids and polyketides
#> 295 500 Translation
#> 296 483 Lipid metabolism
#> 297 500 Signal transduction
#> 298 500 Lipid metabolism
#> 299 326 Amino acid metabolism
#> 301 500 Metabolism of other amino acids
#> 303 500 Translation
#> 305 275 Metabolism of terpenoids and polyketides
#> 306 500 Metabolism of other amino acids
#> 307 500 Amino acid metabolism
#> 308 498 Amino acid metabolism
#> 312 491 Transport and catabolism
#> 314 497 Amino acid metabolism
#> 317 360 Lipid metabolism
#> 320 297 Energy metabolism
#> 321 297 Amino acid metabolism
#> 322 483 Energy metabolism
#> 327 474 Nucleotide metabolism
#> 328 414 Amino acid metabolism
#> 330 335 Amino acid metabolism
#> 331 500 Lipid metabolism
#> 332 500 Signal transduction
#> 333 494 Lipid metabolism
#> 336 464 Translation
#> 338 500 Metabolism of terpenoids and polyketides
#> 339 488 Translation
#> 340 388 Translation
#> 341 403 Transport and catabolism
#> 342 500 Signal transduction
#> 343 439 Amino acid metabolism
#> 344 469 Nucleotide metabolism
#> 346 500 Metabolism of other amino acids
#> 350 371 Amino acid metabolism
#> 354 385 Nucleotide metabolism
#> 357 476 Lipid metabolism
#> 358 499 Lipid metabolism
#> 360 499 Amino acid metabolism
#> 361 291 Nucleotide metabolism
#> 362 487 Lipid metabolism
#> 364 500 Nucleotide metabolism
#> 365 500 Energy metabolism
#> 368 399 Energy metabolism
#> 370 465 Transport and catabolism
#> 372 406 Metabolism of other amino acids
#> 375 330 Transport and catabolism
#> 376 500 Translation
#> 378 318 Lipid metabolism
#> 379 436 Amino acid metabolism
#> 380 252 Energy metabolism
#> 384 490 Translation
#> 386 500 Amino acid metabolism
#> 387 500 Energy metabolism
#> 389 345 Metabolism of other amino acids
#> 391 500 Lipid metabolism
#> 394 475 Translation
#> 395 500 Amino acid metabolism
#> 397 300 Translation
#> 399 466 Transport and catabolism
#> 401 413 Energy metabolism
#> 404 396 Lipid metabolism
#> 405 500 Metabolism of terpenoids and polyketides
#> 408 303 Metabolism of other amino acids
#> 409 497 Amino acid metabolism
#> 410 352 Translation
#> 411 480 Energy metabolism
#> 414 500 Energy metabolism
#> 416 385 Lipid metabolism
#> 419 266 Transport and catabolism
#> 420 303 Translation
#> 422 500 Energy metabolism
#> 427 336 Lipid metabolism
#> 428 336 Amino acid metabolism
#> 430 317 Membrane transport
#> 433 311 Energy metabolism
#> 437 500 Translation
#> 439 261 Amino acid metabolism
#> 441 261 Lipid metabolism
#> 443 500 Lipid metabolism
#> 445 485 Metabolism of other amino acids
#> 447 291 Translation
#> 450 500 Energy metabolism
#> 453 486 Translation
#> 454 486 Signal transduction
#> 457 282 Signal transduction
#> 458 282 Transport and catabolism
#> 460 500 Membrane transport
#> 461 500 Translation
#> 464 500 Lipid metabolism
#> 465 420 Amino acid metabolism
#> 466 375 Energy metabolism
#> 467 298 Energy metabolism
#> 468 265 Translation
#> 469 489 Translation
#> 470 500 Translation
#> 471 377 Energy metabolism
#> 473 500 Translation
#> 475 366 Transport and catabolism
#> 476 473 Metabolism of other amino acids
#> 479 500 Energy metabolism
#> 480 500 Signal transduction
#> 481 336 Lipid metabolism
#> 482 488 Translation
#> 483 500 Translation
#> 486 384 Translation
#> 488 484 Metabolism of other amino acids
#> 490 490 Membrane transport
#> 491 490 Energy metabolism
#> 492 306 Transport and catabolism
#> 493 500 Energy metabolism
#> 494 492 Membrane transport
#> 495 493 Lipid metabolism
#> 496 500 Translation
#> 498 500 Amino acid metabolism
#> 499 500 Metabolism of other amino acids
#> 500 271 Translation
#> 501 499 Metabolism of other amino acids
#> 502 500 Translation
#> 504 431 Energy metabolism
#> 505 385 Translation
#> 509 276 Amino acid metabolism
#> 513 309 Membrane transport
#> 514 309 Signal transduction
#> 515 500 Translation
#> 517 289 Amino acid metabolism
#> 518 498 Translation
#> 519 360 Membrane transport
#> 520 366 Energy metabolism
#> 521 497 Translation
#> 522 256 Energy metabolism
#> 523 500 Energy metabolism
#> 525 472 Translation
#> 526 500 Translation
#> 527 461 Translation
#> 528 500 Translation
#> 531 334 Lipid metabolism
#> 534 434 Metabolism of other amino acids
#> 535 293 Amino acid metabolism
#> 540 461 Metabolism of other amino acids
#> 542 490 Translation
#> 543 405 Energy metabolism
#> 544 332 Energy metabolism
#> 546 500 Lipid metabolism
#> 547 351 Lipid metabolism
#> 549 483 Metabolism of terpenoids and polyketides
#> 551 464 Membrane transport
#> 552 500 Transport and catabolism
#> 553 500 Metabolism of terpenoids and polyketides
#> 554 266 Nucleotide metabolism
#> 556 456 Energy metabolism
#> 558 500 Amino acid metabolism
#> 559 423 Translation
#> 561 357 Lipid metabolism
#> 562 357 Amino acid metabolism
#> 565 481 Translation
#> 566 470 Amino acid metabolism
#> 567 268 Transport and catabolism
#> 569 500 Lipid metabolism
#> 571 448 Nucleotide metabolism
#> 572 500 Translation
#> 573 500 Lipid metabolism
#> 574 391 Lipid metabolism
#> 575 301 Amino acid metabolism
#> 577 371 Nucleotide metabolism
#> 579 500 Membrane transport
#> 580 500 Signal transduction
#> 581 500 Translation
#> 583 433 Translation
#> 585 324 Amino acid metabolism
#> 586 493 Transport and catabolism
#> 587 493 Membrane transport
#> 588 275 Translation
#> 590 500 Energy metabolism
#> 591 368 Amino acid metabolism
#> 593 343 Metabolism of other amino acids
#> 595 500 Amino acid metabolism
#> 596 332 Energy metabolism
#> 597 440 Nucleotide metabolism
#> 598 452 Signal transduction
#> 599 452 Lipid metabolism
#> 603 500 Lipid metabolism
#> 604 250 Nucleotide metabolism
#> 606 500 Energy metabolism
#> 608 301 Nucleotide metabolism
#> 610 280 Nucleotide metabolism
#> 611 494 Metabolism of terpenoids and polyketides
#> 612 283 Lipid metabolism
#> 614 283 Metabolism of other amino acids
#> 615 283 Amino acid metabolism
#> 616 500 Amino acid metabolism
#> 617 491 Lipid metabolism
#> 618 461 Lipid metabolism
#> 619 461 Amino acid metabolism
#> 620 312 Nucleotide metabolism
#> 623 251 Lipid metabolism
#> 624 500 Energy metabolism
#> 626 462 Lipid metabolism
#> 630 264 Nucleotide metabolism
#> 631 460 Amino acid metabolism
#> 634 500 Amino acid metabolism
#> 641 496 Nucleotide metabolism
#> 642 450 Translation
#> 643 500 Translation
#> 644 296 Translation
#> 645 497 Nucleotide metabolism
#> 646 305 Translation
#> molecular.level
#> 1 metabolites
#> 2 metabolites
#> 5 metabolites
#> 6 metabolites
#> 7 metabolites
#> 8 metabolites
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#> 80 metabolites
#> 81 metabolites
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#> 83 metabolites
#> 84 metabolites
#> 85 contigs
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#> 646 contigs
sensitivityplot(extendedres.3, BMDtype = "zSD",
group = "path_class", colorby = "molecular.level",
BMDsummary = "first.quartile")
# }