plotSCEBatchFeatureMean {singleCellTK} | R Documentation

## Plot mean feature value in each batch of a SingleCellExperiment object

### Description

Plot mean feature value in each batch of a SingleCellExperiment object

### Usage

    plotSCEBatchFeatureMean(
      inSCE,
      useAssay = NULL,
      useReddim = NULL,
      useAltExp = NULL,
      batch = "batch",
      xlab = "batch",
      ylab = "Feature Mean",
      ...
    )

### Arguments

`inSCE` | SingleCellExperiment inherited object.
`useAssay` | A single character. The name of the assay that stores the value to plot. For `useReddim` and `useAltExp` also. Default `NULL`.
`useReddim` | A single character. The name of the dimension reduced matrix that stores the value to plot. Default `NULL`.
`useAltExp` | A single character. The name of the alternative experiment that stores an assay of the value to plot. Default `NULL`.
`batch` | A single character. The name of batch annotation column in `colData(inSCE)`. Default `"batch"`.
`xlab` | label for x-axis. Default `"batch"`.
`ylab` | label for y-axis. Default `"Feature Mean"`.
`...` | Additional arguments passed to `.ggViolin`.

### Value

ggplot

### Examples

    data('sceBatches', package = 'singleCellTK')
    plotSCEBatchFeatureMean(sceBatches, useAssay = "logcounts")

[Package singleCellTK version 2.0.0 Index]