plotHeatmapColor: Plot heatmap with color bar

Description Usage Arguments Value Examples

View source: R/visualization.R

Description

Plot heatmap with color bar

Usage

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plotHeatmapColor(df.input, condition.vec.1, condition.vec.2,
  condition.1.name, condition.2.name, do.scale = TRUE,
  clusterRow = TRUE, clusterCol = TRUE, displayRowLabels = TRUE,
  displayColumnLabels = TRUE, displayRowDendrograms = TRUE,
  displayColumnDendrograms = TRUE, annotationColors = "auto",
  columnTitle = "Title")

Arguments

df.input

Input data object that contains the data to be plotted. Required

condition.vec.1

color vector. Required

condition.vec.2

color vector 2. Required

condition.1.name

color vector 1 name. Required

condition.2.name

color vector 2 name. Required

do.scale

whether to do row scaling

clusterRow

Cluster the rows. The default is TRUE

clusterCol

Cluster the columns. The default is TRUE

displayRowLabels

Display the row labels on the heatmap. The default is TRUE.

displayColumnLabels

Display the column labels on the heatmap. The default is TRUE

displayRowDendrograms

Display the row dendrograms on the heatmap. The default is TRUE

displayColumnDendrograms

Display the column dendrograms on the heatmap. The default is TRUE.

annotationColors

Set of annotation colors for color bar. If null, no color bar is shown. If "auto", then colors will be added automatically. The default is "auto".

columnTitle

Title to be displayed at top of heatmap.

Value

ComplexHeatmap object

Examples

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data('iris')
plotHeatmapColor(iris[,1:4],
c(rep(1,100), rep(0,50)),c(rep(0,100), rep(1,50)),
"condition.1.name", "condition.1.name")

PathoStat documentation built on Nov. 9, 2018, 6 p.m.