plotHeatmapColor {PathoStat} | R Documentation

## Plot heatmap with color bar

### Description

Plot heatmap with color bar

### Usage

    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

    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")

[Package PathoStat version 1.6.1 Index]