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This function assigns significance codes to a p-value vector based on commonly accepted significance thresholds. The significance codes are:

  • "***" for p-values <= 0.001

  • "**" for p-values <= 0.01 and > 0.001

  • "*" for p-values <= 0.05 and > 0.01

  • "." for p-values <= 0.1 and > 0.05

  • "<>" for p-values > 0.1

Usage

stat_sig(p_val_data)

Arguments

p_val_data

A numeric vector representing the p-values to be categorized. The vector should contain p-values between 0 and 1.

Value

A character vector with the assigned significance codes for each p-value.

Author

Nicolas Foss, Ed.D., MS

Examples

# Example usage of the stat_sig function
data <- data.frame(p_value = c(0.001, 0.03, 0.12, 0.05, 0.07))

data |>
  dplyr::mutate(significance = stat_sig(p_val_data = p_value))
#>   p_value significance
#> 1   0.001          ***
#> 2   0.030            *
#> 3   0.120           <>
#> 4   0.050            *
#> 5   0.070            .