loading_distribution: Plot overall distribution of gene loadings

In marchinilab/SDAtools: SDAtools: A toolkit for SDA

Description

loading_distribution Plot overall distribution of gene loadings

Usage

loading_distribution(results, omic = 1, split_by_pip = FALSE,
  bw = "nrd0", n = 2^9, facet_type = "zoom")

Arguments

results	list; object containing result (output of read_output)
omic	numeric or character; index of the omic type to plot, or name of omic type if you assigned a name
split_by_pip	logical; Should density by plotted seperately for loadings with PIPs either side of 0.5
bw	bandwidth used in density estimation, see ?density for more information
n	number of points for density evaluation, see ?density for more information
facet_type	"zoom" or "wrap"; if split_by_pip is true, should the density be plotted in seperate graphs or the same graph with a zoom.

Value

A ggplot2 object

Examples

data(results)
loading_distribution(results, split_by_pip = TRUE, facet_type="wrap")

marchinilab/SDAtools documentation built on Jan. 31, 2020, 3:51 a.m.