plot.mvr {pls} | R Documentation |
Plot Method for MVR objects
Description
plot.mvr
plots predictions, coefficients, scores, loadings, biplots,
correlation loadings or validation plots (RMSEP curves, etc.).
Usage
## S3 method for class 'mvr'
plot(
x,
plottype = c("prediction", "validation", "coefficients", "scores", "loadings",
"biplot", "correlation"),
...
)
Arguments
x |
an object of class |
plottype |
character. What kind of plot to plot. |
... |
further arguments, sent to the underlying plot functions. |
Details
The function is simply a wrapper for the underlying plot functions used to
make the selected plots. See predplot.mvr
,
validationplot
, coefplot
,
scoreplot
, loadingplot
, biplot.mvr
or corrplot
for details. Note that all arguments except
x
and plottype
must be named.
Value
plot.mvr
returns whatever the underlying plot function
returns.
Author(s)
Ron Wehrens and Bjørn-Helge Mevik
See Also
mvr
, predplot.mvr
,
validationplot
, coefplot
,
scoreplot
, loadingplot
,
biplot.mvr
, corrplot
Examples
data(yarn)
nir.pcr <- pcr(density ~ NIR, ncomp = 9, data = yarn, validation = "CV")
## Not run:
plot(nir.pcr, ncomp = 5) # Plot of cross-validated predictions
plot(nir.pcr, "scores") # Score plot
plot(nir.pcr, "loadings", comps = 1:3) # The three first loadings
plot(nir.pcr, "coef", ncomp = 5) # Coefficients
plot(nir.pcr, "val") # RMSEP curves
plot(nir.pcr, "val", val.type = "MSEP", estimate = "CV") # CV MSEP
## End(Not run)
[Package pls version 2.8-3 Index]