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ACSNMineR (version 0.16.8.25)

represent_enrichment: Graphic representation of enrichment

Description

Graphic representation of enrichment

Usage

represent_enrichment(enrichment, plot = "heatmap", scale = "log", low = "steelblue", high = "white", nrow = 1, sample_name = "Sample", na.value = "grey")

Arguments

enrichment
Data frame or list of dataframes with p-values or corrected p-values (whenever available) and module names for representation. The name of the dataframe will be used as sample name.
plot
Any of "heatmap" or "bar"
scale
Any of "log", "identity" or "reverselog" (i.e. -log10(p-value))
low
Color to be used in heatmap mode corresponding to lowest value
high
Color to be used in heatmap mode corresponding to highest value
nrow
Number of rows of the grid for display in bar mode.
sample_name
used only is enrichment is a dataframe
na.value
color for the missing values in the heatmap

Value

Function returns a ggplot2 object if input is a dataframe or a gridExtra object if the output is a list.

Examples

Run this code
represent_enrichment(enrichment = enrichment_test,scale = "reverselog",
                    sample_name = "test",plot = "bar")

represent_enrichment(enrichment = list(SampleA = enrichment_test, 
                                     SampleB = enrichment_test[1:3,]), 
                     plot = "heatmap", scale = "log")

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