eventreport (version 0.1.1)

dscore: Calculate discrepancy score

Description

This function computes the mean number of unique values minus one for each specified variable within each group specified by the group_var. It is designed to provide insights into the variability of each variable while adjusting for the minimum possible unique count.

Usage

dscore(data, group_var, variables)

Value

A tibble with each specified variable showing the mean of (unique values - 1) for each group. The data is grouped by the `group_var` and returns the results in a wide format, where each variable is prefixed with "dscore_" to indicate the calculation.

Arguments

data

A dataframe containing the data to be analyzed.

group_var

A character string specifying the column name used for grouping the data.

variables

A character vector of column names in `data` for which the mean number of unique values minus one is calculated.

Examples

df <- data.frame(
  group = c("A", "A", "B", "B", "B"),
  age = c(25, 25, 30, 35, 30),
  gender = c("Male", "Male", "Female", "Female", "Female"),
  income = c(50000, 50000, 60000, 65000, 60000)
)
result <- dscore(df, "group", c("age", "gender", "income"))
print(result)