R/seuratFunctions.R
plotSeuratReduction.RdplotSeuratReduction Plots the selected dimensionality reduction method
plotSeuratReduction(
inSCE,
useReduction = c("pca", "ica", "tsne", "umap"),
showLegend = FALSE,
groupBy = NULL,
splitBy = NULL
)(sce) object which has the selected dimensionality reduction algorithm already computed and stored
Dimentionality reduction to plot. One of "pca", "ica",
"tsne", or "umap". Default "umap".
Select if legends and labels should be shown on the output
plot or not. Either "TRUE" or "FALSE". Default FALSE.
Specify a colData column name that be used for grouping.
Default is NULL.
Specify a colData column name that be used for splitting the
output plot. Default is NULL.
plot object
data(scExample, package = "singleCellTK")
if (FALSE) {
sce <- runSeuratNormalizeData(sce, useAssay = "counts")
sce <- runSeuratFindHVG(sce, useAssay = "counts")
sce <- runSeuratScaleData(sce, useAssay = "counts")
sce <- runSeuratPCA(sce, useAssay = "counts")
plotSeuratReduction(sce, useReductionPlot = "pca")}