vis.pca: PCA result visualisation

In imminfo/tcr: Advanced Data Analysis of Immune Receptor Repertoires

Description

Plot the given pca results with colour divided by the given groups.

Usage

vis.pca(.data, .groups = NA, .text = T)

Arguments

.data	Result from prcomp() function or a data frame with two columns 'First' and 'Second' stands for the first PC and the second PC.
.groups	List with names for groups and indices of the group members. If NA than each member is in the individual group.
.text	If T than print the names of the subjects.

Value

ggplot object.

Examples

## Not run: 
data(twb)
tmp = geneUsage(twb)
vis.pca(prcomp(t(tmp[,-1])))

## End(Not run)

imminfo/tcr documentation built on June 13, 2020, 7:01 a.m.