plot.mvr.Rdplot.mvr plots predictions, coefficients, scores, loadings,
biplots, correlation loadings or validation plots (RMSEP curves, etc.).
# S3 method for mvr plot(x, plottype = c("prediction", "validation", "coefficients", "scores", "loadings", "biplot", "correlation"), ...)
| x | an object of class |
|---|---|
| plottype | character. What kind of plot to plot. |
| ... | further arguments, sent to the underlying plot functions. |
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.
plot.mvr returns whatever the underlying plot function returns.
data(yarn) nir.pcr <- pcr(density ~ NIR, ncomp = 9, data = yarn, validation = "CV") if (FALSE) { 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 }