heatmapForMissingValues: This function is inspired from the function 'heatmap.2' that...

In samWieczorek/DAPAR: Tools for the Differential Analysis of Proteins Abundance with R

This function is inspired from the function heatmap.2 that displays quantitative data in the Biobase::exprs() table of an object of class MSnSet. For more information, please refer to the help of the heatmap.2 function.

Description

Heatmap inspired by the heatmap.2 function.

Usage

heatmapForMissingValues(
  x,
  col = heat.colors(100),
  srtCol = NULL,
  labCol = NULL,
  labRow = NULL,
  key = TRUE,
  key.title = NULL,
  main = NULL,
  ylab = NULL
)

Arguments

x	A dataframe that contains quantitative data.
col	colors used for the image. Defaults to heat colors (heat.colors).
srtCol	angle of column conds, in degrees from horizontal
labCol	character vectors with column conds to use.
labRow	character vectors with row conds to use.
key	logical indicating whether a color-key should be shown.
key.title	main title of the color key. If set to NA no title will be plotted.
main	main title; default to none.
ylab	y-axis title; default to none.

Value

A heatmap

Author(s)

Samuel Wieczorek

Examples

utils::data(Exp1_R25_prot, package='DAPARdata')
obj <- Exp1_R25_prot[1:1000]
level <- obj@experimentData@other$typeOfData
metacell.mask <- match.metacell(GetMetacell(obj), 'missing', level)
indices <- GetIndices_WholeLine(metacell.mask)
obj <- MetaCellFiltering(obj, indices, cmd='delete')
qData <- Biobase::exprs(obj$new)
heatmapForMissingValues(qData)

samWieczorek/DAPAR documentation built on May 6, 2022, 5:30 p.m.