heatmapForMissingValues {DAPAR} | R Documentation

## This function is inspired from the function `heatmap.2` that displays quantitative data in the `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)

[Package DAPAR version 1.24.8 Index]