visualize correlation among samples
plot_sample_correlation(pdata, config)Arguments
- pdata
data.frame
- config
AnalysisConfiguration
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_pca(),
plot_raster(),
plot_screeplot()
Examples
istar <-sim_lfq_data_peptide_config()
#> creating sampleName from fileName column
#> Warning: no nr_children column specified in the data, adding column nr_children and setting to 1.
#> completing cases
config <- istar$config
analysis <- istar$data
analysis <- remove_small_intensities(analysis, config)
analysis <- transform_work_intensity(analysis, config, log2)
#> Column added : log2_abundance
mm <- tidy_to_wide_config(analysis, config, as.matrix = TRUE)
class(plot_sample_correlation(analysis, config))
#> [1] "list"
plot_sample_correlation(analysis, config)
