| plotVariable {EMA} | R Documentation |
Variable representation for Principal Component Analysis (PCA)
plotVariable(acp, axes = c(1, 2), new.plot = FALSE, lab, lim.cos2.var = 0, palette="rainbow", ...)
acp |
result from PCA or do.pca function |
axes |
axes for variable representation, by default 1 and 2 |
new.plot |
if TRUE, a new graphical device is created, by default = FALSE |
lab |
variable label |
palette |
character, name of color palette, by default = "rainbow" |
lim.cos2.var |
keep variables with cos2 >= lim.cos2.var |
... |
Arguments to be passed to methods, such as graphical parameters (see 'par'). |
Variable representation on axes axes[1] and axes[2]
If PCA is normed, the correlation circle is plotted colored by lab
EMA group
## Not run:
data(marty)
## PCA on sample on 100 genes
## In practice see genes.selection
##mvgenes<-genes.selection(marty, thres.num=100)
pca <- runPCA(t(marty[1:100,]), verbose = FALSE, plotSample = FALSE,
plotInertia = FALSE)
\dontrun{
## Variable plot of PCA object
plotVariable(pca)
}
## End(Not run)