Usage
validationplot(object, val.type = c("RMSEP", "MSEP", "R2"), estimate,
newdata, comps, intercept, ...)
## S3 method for class 'mvrVal':
plot(x, nCols, nRows, type = "l", lty = 1:nEst, lwd = NULL,
pch = 1:nEst, cex = NULL, col = 1:nEst, legendpos,
xlab = "number of components", ylab = x$type, \dots)
Arguments
val.type
character. What type of validation statistic to plot.
estimate
character. Which estimates of the statistic to
calculate. See RMSEP
. newdata
data frame. Optional new data used to calculate statistic.
comps
integer vector. The model sizes to compute the statistic
for. See RMSEP
. intercept
logical. Whether estimates for a model with zero
components should be calculated as well.
x
an mvrVal
object. Usually the result of a
RMSEP
, MSEP
or R2
call. nCols, nRows
integers. The number of coloumns and rows the
plots will be laid out in. If not specified, plot.mvrVal
tries
to be intelligent.
type
character. What type of plots to create. Defaults to
"l"
(lines). Alternative types include "p"
(points)
and "b"
(both). See plot
for a complete list
of t lty
vector of line types (recycled as neccessary). Line types can be
specified as integers or character strings (see par
for the details). lwd
vector of positive numbers (recycled as neccessary), giving
the width of the lines.
pch
plot character. A character string or a vector of
single characters or integers (recycled as neccessary). See
points
for all alternatives. cex
numeric vector of character expansion sizes (recycled as
neccessary) for the plotted symbols.
col
character or integer vector of colors for plotted lines and
symbols (recycled as neccessary). See par
for the details. legendpos
Legend position. Optional. If present, a legend is
drawn at the given position. The position can be specified
symbolically (e.g., legendpos = "topright"
). This requires
R>= 2.1.0. Alternatively, the position can be specified
xlab,ylab
titles for $x$ and $y$ axes. Typically
character strings, but can be expressions (e.g.,
expression(R^2)
or lists. See title
for details. ...
Further arguments sent to underlying plot functions.