masterPCAPlot: Visualize the components of the PCA analysis of the...
In ncborcherding/scone: Single-Cell Operation for Neat Enrichment

Description Usage Arguments Value See Also Examples

View source: R/visualizations.R

Graph the major gene set contributors to the pcaEnrichment.

1	masterPCAPlot(enriched, PCx, PCy, top.contribution = 10)

`enriched`	The output of `enrichIt`.
`PCx`	The principal component graphed on the x-axis.
`PCy`	The principal component graphed on the y-axis.
`top.contribution`	The number of gene sets to graph, organized by PCA contribution.

ggplot2 object sumamrizing the PCA for the enrichment scores

enrichIt for generating enrichment scores.

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ES2 <- readRDS(url(
"https://ncborcherding.github.io/vignettes/scone_enrichment_results.rds"))
masterPCAPlot(ES2, PCx = "PC1", PCy = "PC2", top.contribution = 10)