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Pairwise within-group correlations for each method shown as boxplots with error bars. Higher and less variable values indicate better normalization.

Usage

nm_plot_correlation(
  se,
  assay_names = NULL,
  condition_col = "Condition",
  cor_method = "pearson",
  ...
)

Arguments

se

SummarizedExperiment from import_norm_matrices().

assay_names

Character vector of assay names to include. NULL = all.

condition_col

Column in colData with condition labels.

cor_method

Correlation method passed to cor(): "pearson", "spearman", or "kendall". Default "pearson".

...

Additional arguments (unused).

Value

ggplot object.

Examples

data(nadia_dia)
se <- nm_prepare_se(nadia_dia, verbose = FALSE)
se <- nm_run_normalizations(se, methods = c("cycloess", "quantile", "MAD"),
                            verbose = FALSE)

nm_plot_correlation(se, cor_method = "pearson")