View source: R/boxplots.bootpls.R
boxplots.bootpls | R Documentation |
Boxplots for bootstrap distributions.
boxplots.bootpls( bootobject, indices = NULL, prednames = TRUE, articlestyle = TRUE, xaxisticks = TRUE, ranget0 = FALSE, las = par("las"), mar, mgp, ... )
bootobject |
a object of class |
indices |
vector of indices of the variables to plot. Defaults to
|
prednames |
do the original names of the predictors shall be plotted ?
Defaults to |
articlestyle |
do the extra blank zones of the margin shall be removed
from the plot ? Defaults to |
xaxisticks |
do ticks for the x axis shall be plotted ? Defaults to
|
ranget0 |
does the vertival range of the plot shall be computed to
include the initial estimates of the coefficients ? Defaults to
|
las |
numeric in 0,1,2,3; the style of axis labels. 0: always parallel to the axis [default], 1: always horizontal, 2: always perpendicular to the axis, 3: always vertical. |
mar |
A numerical vector of the form |
mgp |
The margin line (in mex units) for the axis title, axis labels
and axis line. Note that |
... |
further options to pass to the
|
NULL
Frédéric Bertrand
frederic.bertrand@utt.fr
https://fbertran.github.io/homepage/
bootpls
data(Cornell) XCornell<-Cornell[,1:7] yCornell<-Cornell[,8] # Lazraq-Cleroux PLS ordinary bootstrap set.seed(250) modpls <- plsR(yCornell,XCornell,3) Cornell.bootYX <- bootpls(modpls, R=250) # Graph similar to the one of Bastien et al. in CSDA 2005 boxplots.bootpls(Cornell.bootYX,indices=2:8) data(aze_compl) modplsglm<-plsRglm(y~.,data=aze_compl,3,modele="pls-glm-logistic") aze_compl.boot3 <- bootplsglm(modplsglm, R=250, verbose=FALSE) boxplots.bootpls(aze_compl.boot3) boxplots.bootpls(aze_compl.boot3,las=3,mar=c(5,2,1,1)) boxplots.bootpls(aze_compl.boot3,indices=c(2,4,6),prednames=FALSE)
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