seuratReductionPlot {singleCellTK} | R Documentation |
seuratReductionPlot Plots the selected dimensionality reduction method
seuratReductionPlot( inSCE, useReduction = c("pca", "ica", "tsne", "umap"), showLegend = FALSE, groupBy = NULL, splitBy = NULL )
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 |
showLegend |
Select if legends and labels should be shown on the output
plot or not. Either "TRUE" or "FALSE". Default |
groupBy |
Specify a colData column name that be used for grouping.
Default is |
splitBy |
Specify a colData column name that be used for splitting the
output plot. Default is |
plot object
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)