plot_pca: plot PCA

In wolski/prolfqua: Proteomics Label Free Quantification

plot PCA

Description

plot PCA

Usage

plot_pca(data, config, PC = c(1, 2), add_txt = FALSE, plotly = FALSE)

See Also

Other plotting: ContrastsPlotter, INTERNAL_FUNCTIONS_BY_FAMILY, UpSet_interaction_missing_stats(), UpSet_missing_stats(), medpolish_estimate_df(), missigness_histogram(), missingness_per_condition(), missingness_per_condition_cumsum(), plot_NA_heatmap(), plot_estimate(), plot_heatmap(), plot_heatmap_cor(), plot_hierarchies_add_quantline(), plot_hierarchies_boxplot_df(), plot_hierarchies_line(), plot_hierarchies_line_df(), plot_intensity_distribution_violin(), plot_raster(), plot_sample_correlation(), plot_screeplot()

Examples

istar <- sim_lfq_data_protein_config(with_missing = FALSE)
config <- istar$config
analysis <- istar$data
tmp <- plot_pca(analysis, config, add_txt= TRUE)
stopifnot("ggplot" %in% class(tmp) )
tmp <- plot_pca(analysis, config, add_txt= FALSE)
stopifnot("ggplot" %in% class(tmp) )
tmp
tmp <- plot_pca(analysis, config, PC = c(1,2))
stopifnot("ggplot" %in% class(tmp) )
tmp <- plot_pca(analysis, config, PC = c(2,40))
stopifnot(is.null(tmp))

wolski/prolfqua documentation built on May 12, 2024, 10:16 p.m.