plotComponentVariance: Plot fraction of variance explained by the successive reduced...

In kharchenkolab/conos: Clustering on Network of Samples

Plot fraction of variance explained by the successive reduced space components (PCA, CPCA)

Description

Requires buildGraph() or updatePairs() to be ran first with the argument score.component.variance=TRUE.

Usage

plotComponentVariance(
  conos.obj,
  space = "PCA",
  plot.theme = ggplot2::theme_bw()
)

Arguments

conos.obj	conos object
space	character Reduction space to be analyzed (currently, component variance scoring is only supported by PCA and CPCA) (default='PCA')
plot.theme	ggplot theme (default=ggplot2::theme_bw()). Refer to <https://ggplot2.tidyverse.org/reference/ggtheme.html> for more details.

Value

ggplot

kharchenkolab/conos documentation built on Feb. 28, 2024, 6:03 a.m.