Add statistical test results to summary data

Calculates and appends p-values with optional statistical details to a summary table based on variable types and group comparisons. Handles both continuous and categorical variables with appropriate statistical tests.

add_p(
  summary,
  digit = 3,
  asterisk = FALSE,
  add_method = FALSE,
  add_statistic_name = FALSE,
  add_statistic_value = FALSE
)

Arguments

summary

A data frame that has been processed by add_summary().

digit

A numeric determine decimal. Accepts:

  • 3:convert to 3 decimal, default

  • 4:convert to 4 decimal

asterisk

Logical indicating whether to show asterisk significance markers.

add_method

Control parameter for display of statistical methods. Accepts:

  • 'code': Show method as codes according to order of appearance

  • TRUE/'true': Show method text

  • FALSE/'false': Not show method text

add_statistic_name

Logical indicating whether to include test statistic names.

add_statistic_value

Logical indicating whether to include test statistic values.

Value

A data frame merged with statistical test results, containing: - Variable names - Summary - Formatted p-values - Optional method names/codes - Optional statistic names/values

Examples

# `summary` is a data frame processed by `add_var()` and `add_summary()`:
data <- add_var(iris, var = c("Sepal.Length", "Sepal.Width"), group = "Species")
summary <- add_summary(data)
#> ⠙ Summarizing
#> ✔ Summarizing [43ms]
#> 

# Add statistical test results
result <- add_p(summary)
#> ⠙ Geting p-values
#> ✔ Geting p-values [10ms]
#>