Quickly Pick Relevant Dimensions

Plots the standard deviations (or approximate singular values if running PCAFast) of the principle components for easy identification of an elbow in the graph. This elbow often corresponds well with the significant dims and is much faster to run than Jackstraw

ElbowPlot(object, ndims = 20, reduction = "pca")

Arguments

object

Seurat object

ndims

Number of dimensions to plot standard deviation for

reduction

Reduction technique to plot standard deviation for

Value

A ggplot object

Examples

data("pbmc_small")
ElbowPlot(object = pbmc_small)
#> Warning: The object only has information for 19 reductions