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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
"<>"
stat_sig(p_val_data)
A character vector with the assigned significance codes for each p-value.
A numeric vector representing the p-values to be categorized. The vector should contain p-values between 0 and 1.
Nicolas Foss, Ed.D., MS
# 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))
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