gg_barplot: Barplot with ggplot2

In SciDoPhenIA/phenomis: Analysis of single and multiple phenomic data sets

Barplot with ggplot2

Description

Barplot with ggplot2

Usage

gg_barplot(
  data.mn,
  row_levels.vc = NA,
  col_levels.vc = NA,
  title.c = "",
  xlab.c = "",
  ylab.c = "",
  palette.vc = "Set1",
  cex_axis.i = 18,
  cex_bar.i = 10,
  cex_title.i = 28,
  bar_just.n = 0.9,
  figure.c = c("interactive", "my_barplot.pdf", "none")[1]
)

Arguments

data.mn	Matrix of numerics: values to be barplotted
row_levels.vc	Vector of characters: levels of rownames (default: NA: alphabetical order will be used)
col_levels.vc	Vector of characters: levels of colnames (default: NA: alphabetical order will be used)
title.c	Character: plot title
xlab.c	Character: x label
ylab.c	Character: y label
palette.vc	Character: either the name of an RColorBrewer palette (default: 'Set1'; 'Paired' can be useful for parallel plotting) or a vector manually defining the colors
cex_axis.i	Integer: size of axis text (default: 18)
cex_bar.i	Integer: size of bar value text (default: 10)
cex_title.i	Integer: size of title text (default: 28)
bar_just.n	Numeric: adjustment of bar value text (default : 0.9)
figure.c	Character: either 'interactive' for interactive display, 'my_barplot.pdf' for figure saving (only the extension matters), or 'none' to prevent plotting

Value

invisible ggplot2 object

Examples

prometis.mset <- phenomis::reading(system.file("extdata/prometis", package = "phenomis"))
dims.mn <- sapply(names(prometis.mset), function(set.c) { Biobase::dims(prometis.mset[[set.c]])})
dims.mn <- t(dims.mn)
colnames(dims.mn) <- c("Features", "Samples")
gg_barplot(dims.mn, title.c = "ProMetIS data")
prometis_dims.ls <- Biobase::dims(prometis.mset)

SciDoPhenIA/phenomis documentation built on June 9, 2022, 11:54 p.m.