plotPca: PCA with miRNA or mRNA data

In mariavica/mircomb: An R package for analyzing miRNA-mRNA interactions

Description

Plot Principal Components Analysis of miRNA or mRNA data

Usage

plotPca(obj, subset, col.color = 1, colors = c("turquoise", "violet"), pos.leg="topleft",
	names = FALSE, ...)

Arguments

obj	a corObject.
subset	"miRNA" or "mRNA".
col.color	name of the column in the pheno slot used for coloring the samples.
colors	In case of a two-level factor grouping, colors to be used.
pos.leg	legend position, "bottomright", "topright", "bottomleft" or "topleft"
names	FALSE or TRUE. Plot names of the samples.
...	further arguments.

Value

A pca plot showing the principal components analysis (PCA) of miRNA or mRNA data.

See Also

plot3d

Examples

data(data.obj)
plotPca(data.obj,"miRNA")
plotPca(data.obj,"mRNA")

mariavica/mircomb documentation built on Feb. 3, 2020, 2:28 a.m.