seuratReductionPlot {singleCellTK} | R Documentation

## seuratReductionPlot Plots the selected dimensionality reduction method

### Description

seuratReductionPlot Plots the selected dimensionality reduction method

### Usage

    seuratReductionPlot(
      inSCE,
      useReduction = c("pca", "ica", "tsne", "umap"),
      showLegend = FALSE,
      groupBy = NULL,
      splitBy = NULL
    )

### Arguments

`inSCE` | (sce) object which has the selected dimensionality reduction algorithm already computed and stored
`useReduction` | Dimentionality reduction to plot. One of "pca", "ica", "tsne", or "umap". Default `"umap"`.
`showLegend` | Select if legends and labels should be shown on the output plot or not. Either "TRUE" or "FALSE". Default `FALSE`.
`groupBy` | Specify a colData column name that be used for grouping. Default is `NULL`.
`splitBy` | Specify a colData column name that be used for splitting the output plot. Default is `NULL`.

### Value

plot object

### Examples

    data(scExample, package = "singleCellTK")
    ## Not run:
    sce <- seuratNormalizeData(sce, useAssay = "counts")
    sce <- seuratFindHVG(sce, useAssay = "counts")
    sce <- seuratScaleData(sce, useAssay = "counts")
    sce <- seuratPCA(sce, useAssay = "counts")
    seuratReductionPlot(sce, useReductionPlot = "pca")
    ## End(Not run)

[Package singleCellTK version 2.2.0 Index]