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visualize correlation among samples

Source: R/tidyMS_plotting.R
plot_sample_correlation.Rd

visualize correlation among samples

Usage

plot_sample_correlation(matrix)

Arguments

matrix

numeric matrix — wide-format intensity data (samples as columns)

See also

Other plotting: ContrastsPlotter, INTERNAL_FUNCTIONS_BY_FAMILY, medpolish_estimate_df(), missigness_histogram(), missingness_per_condition(), missingness_per_condition_cumsum(), 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_na_heatmap(), plot_pca(), plot_raster(), upset_interaction_missing_stats(), upset_missing_stats()

Examples

istar <- sim_lfq_data_peptide_config()
#> creating sampleName from file_name column
#> completing cases
#> completing cases done
#> setup done
lfq <- LFQData$new(istar$data, istar$config)
lfq <- lfq$get_Transformer()$log2()$lfq
#> Column added : log2_abundance
plot_sample_correlation(lfq$data_wide(as.matrix = TRUE)$data)