Create PVC HTML report from statistical PVC results — create_pvc

Generates per-feature PVC plots and writes an HTML report to disk from the statistical output of find_pvc(). This function does not recompute any statistics; it consumes pvc_results (including its attributes) and the original input data stored in splineomics.

Usage

create_pvc_report(
  splineomics,
  pvc_results,
  plot_info = list(y_axis_label = "Value", time_unit = "min", treatment_labels = NA,
    treatment_timepoints = NA),
  verbose = FALSE,
  report_dir = tempdir()
)

Arguments

splineomics: list: Preprocessed time-series input. Must include at least data, meta, annotation, condition, meta_batch_column, meta_batch2_column (optional), report_info, and feature_name_columns.
pvc_results: list: Output from find_pvc(), a named list by condition level. Each level must contain alpha and pvc_adj_pvals. Attributes padjust_method and support are used for report header settings.
plot_info: list: Plot annotation options passed to plot_pvc(). See find_pvc() for the expected structure. Treatment annotations are applied per condition level if treatment_labels and treatment_timepoints are provided.
verbose: Boolean flag indicating if messages should be shown.
report_dir: character(1): Output directory for the HTML report and any associated files.

Value

The input pvc_results with an additional plots element added under each condition level. The report is written to report_dir.

Details

For each condition level, the function subsets splineomics$data and splineomics$meta, generates per-feature plots via plot_pvc(), then calls generate_report_html() with the plots, metadata, and report header settings derived from pvc_results and splineomics.