forestsearch (version 0.1.0)

cv_metrics_tables: Create Metrics Tables for Cross-Validation Results

Description

Formats the find_summary and sens_summary outputs from forestsearch_tenfold or forestsearch_Kfold into publication-ready gt tables.

Usage

cv_metrics_tables(
  cv_result,
  sg_definition = NULL,
  title = "Cross-Validation Metrics",
  show_percentages = TRUE,
  digits = 1,
  include_raw = FALSE,
  table_style = c("combined", "separate", "minimal"),
  use_gt = TRUE
)

Value

Depending on table_style:

• "combined": A single gt table (or data.frame)

• "separate": A list with agreement_table and finding_table

• "minimal": A single-row gt table (or data.frame)

If include_raw = TRUE, also includes sens_out and find_out

matrices in the returned list.

Arguments

cv_result

List. Result from forestsearch_tenfold() or forestsearch_Kfold(). Must contain find_summary and sens_summary elements.

sg_definition

Character vector. Subgroup factor definitions for labeling (optional). If NULL, extracted from cv_result$sg_analysis.

title

Character. Main title for combined table. Default: "Cross-Validation Metrics".

show_percentages

Logical. Display metrics as percentages (0-100) instead of proportions (0-1). Default: TRUE.

digits

Integer. Decimal places for formatting. Default: 1.

include_raw

Logical. Include raw matrices (sens_out, find_out) in the output for detailed analysis. Default: FALSE.

table_style

Character. One of "combined", "separate", or "minimal".

• "combined": Single table with both agreement and finding metrics

• "separate": Two separate gt tables

• "minimal": Compact single-row summary

Default: "combined".

use_gt

Logical. Return gt table(s) if TRUE, data.frame(s) if FALSE. Default: TRUE.

See Also

cv_summary_tables for formatting forestsearch_KfoldOut(outall=TRUE) results