plotXResiduals.pls {mdatools} | R Documentation |
Shows a plot with orthogonal distance vs score distance for PLS decomposition of X data.
## S3 method for class 'pls' plotXResiduals( obj, ncomp = obj$ncomp.selected, norm = TRUE, log = FALSE, main = sprintf("X-distances (ncomp = %d)", ncomp), cgroup = NULL, xlim = NULL, ylim = NULL, show.limits = c(TRUE, TRUE), lim.col = c("darkgray", "darkgray"), lim.lwd = c(1, 1), lim.lty = c(2, 3), show.legend = TRUE, legend.position = "topright", res = obj$res, ... )
obj |
a PLS model (object of class |
ncomp |
how many components to use (by default optimal value selected for the model will be used) |
norm |
logical, normalize distance values or not (see details) |
log |
logical, apply log tranformation to the distances or not (see details) |
main |
title for the plot |
cgroup |
color grouping of plot points (works only if one result object is available) |
xlim |
limits for x-axis |
ylim |
limits for y-axis |
show.limits |
vector with two logical values defining if limits for extreme and/or outliers must be shown |
lim.col |
vector with two values - line color for extreme and outlier limits |
lim.lwd |
vector with two values - line width for extreme and outlier limits |
lim.lty |
vector with two values - line type for extreme and outlier limits |
show.legend |
logical, show or not a legend on the plot (needed if several result objects are available) |
legend.position |
position of legend (if shown) |
res |
list with result objects to show the plot for (by defaul, model results are used) |
... |
other plot parameters (see |
The function is almost identical to plotResiduals.pca
.