seuratReductionPlot Plots the selected dimensionality reduction method

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")
if (FALSE) {
sce <- seuratNormalizeData(sce, useAssay = "counts")
sce <- seuratFindHVG(sce, useAssay = "counts")
sce <- seuratScaleData(sce, useAssay = "counts")
sce <- seuratPCA(sce, useAssay = "counts")
seuratReductionPlot(sce, useReductionPlot = "pca")}