Q-Q plot per method (NormalyzerDE style)

Quantile-quantile plot against a normal distribution for a single sample, one facet per normalization method. Default uses the first column (as NormalyzerDE does).

Usage

nm_plot_qq(
  se,
  assay_names = NULL,
  condition_col = "Condition",
  which_sample = NULL,
  ...
)

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.

which_sample

Character. Name of the sample to inspect. Default = first column of se.

...

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_qq(se, which_sample = "A_1")