plotTimeSeriesPCA: Overlay (time) series over PCA grid

In nlhuong/vistimeseq: Analysis for short time-series data

Description

PCA plot for data features, with time-series levels overlayed on top.

Usage

plotTimeSeriesPCA(
  object,
  axis = c(1, 2),
  m = 20,
  n = 20,
  group.highlight = NULL,
  linecol = NULL,
  ...
)

Arguments

object	A TimeSeriesExperiment object.
axis	An integer vector indicating principal components to use for plotting, by default 1:2.
m	a number of tiles in a grid in the horizontal direction.
n	a number of tiles in a grid in the vertical direction.
group.highlight	An optional character string indicating the group subset for which the time-course trends should be plotted. By default all time-course trends are plotted for all groups.
linecol	a vector indicating the color of the gene profile trend line, different for each group.
...	other parameters for the line plots.

Value

None

Examples

data("endoderm_small")
endoderm_small <- runPCA(endoderm_small)
plotTimeSeriesPCA(endoderm_small)

nlhuong/vistimeseq documentation built on Sept. 4, 2021, 2:41 a.m.