plsplot: Plot prediction graph for mvr model

In chengvt/cheng: cheng

Description

Plot prediction graph using pls package's 'predplot' function but with ability to add statistical labeling

Usage

plsplot(x, ...)

Arguments

...	pass on to predplot
mvr	mvr object (pls model)
ncomp	number of component
location	legend position
show	select statistics to show
round	digits to round
newx	newx
newy	newy
fitline	add fitline or not
cex.stats	text size of statistics legend

Examples

require(pls)
data(yarn)
model <- plsr(density ~ NIR, 6, data = yarn, validation = "CV")
plsplot(model) # calibration set result
plsplot(model, estimate = "CV") # cross validation set result

## customizing the graphs
plsplot(model, location = "topleft") # change legend position
plsplot(model, show = "R2") # show only R2
plsplot(model, show = "R2", round = 4) # round to four digits
plsplot(model, fitline = FALSE) # get rid of fitline
plsplot(model, show = "R2", cex.stats = 3) # bigger stats font
plsplot(model, cex.lab = 1.5, cex.main = 2) # bigger labels font

chengvt/cheng documentation built on May 13, 2019, 3:52 p.m.