Learn R Programming

rbmiUtils (version 0.3.0)

format_results_table: Format Results Table for Publication

Description

Adds formatted columns to a tidy results table, creating publication-ready output with properly formatted estimates, confidence intervals, and p-values.

Usage

format_results_table(
  data,
  est_col = "est",
  lci_col = "lci",
  uci_col = "uci",
  pval_col = "pval",
  est_digits = 2,
  pval_digits = 3,
  pval_threshold = 0.001,
  ci_sep = ", "
)

Value

A tibble with additional formatted columns:

est_ci

Formatted estimate with confidence interval

pval_fmt

Formatted p-value

Arguments

data

A data.frame or tibble, typically output from tidy_pool_obj().

est_col

Character. Name of the estimate column. Default is "est".

lci_col

Character. Name of the lower CI column. Default is "lci".

uci_col

Character. Name of the upper CI column. Default is "uci".

pval_col

Character. Name of the p-value column. Default is "pval".

est_digits

Integer. Decimal places for estimates. Default is 2.

pval_digits

Integer. Decimal places for p-values. Default is 3.

pval_threshold

Numeric. Threshold for p-value formatting. Default is 0.001.

ci_sep

Character. Separator for CI bounds. Default is ", ".

Details

This function is designed to work with output from tidy_pool_obj() but can be used with any data.frame containing estimate, CI, and p-value columns. The original columns are preserved; new formatted columns are added.

Examples

Run this code
library(dplyr)

# Create example results
results <- tibble::tibble(
  parameter = c("trt_Week24", "lsm_ref_Week24", "lsm_alt_Week24"),
  description = c("Treatment Effect", "LS Mean (Reference)", "LS Mean (Treatment)"),
  est = c(-2.45, 5.20, 2.75),
  se = c(0.89, 0.65, 0.71),
  lci = c(-4.20, 3.93, 1.36),
  uci = c(-0.70, 6.47, 4.14),
  pval = c(0.006, NA, NA)
)

# Format for publication
formatted <- format_results_table(results)
print(formatted[, c("description", "est_ci", "pval_fmt")])

Run the code above in your browser using DataLab