calculate_logodds_table: Calculate a log-odds table

In konradsemsch/aider: Perform everyday analytical and data science tasks more efficiently

Description

This function calculates a log-odds table for any combination of numerical and categorical variables.

Usage

calculate_logodds_table(df, binning, grouping, top_level = "1",
  n_bins = 10, risk_names = TRUE, format = FALSE)

Arguments

df	A data frame
binning	Variable for which binning should be applied
grouping	A two-level (binary) variable to calculate the ratio in each bin
top_level	Top level of the grouping variable. Defaults to 1
n_bins	Provide a number of bins. Defaults to 10
risk_names	Should column names be converted to risk-specific names? Defaults to TRUE
format	Should table printing be formatted with kable? Defaults to FALSE

Examples

recipes::credit_data %>%
  first_to_lower() %>%
  calculate_logodds_table(binning = time,
                          grouping = status,
                          top_level = "bad")

recipes::credit_data %>%
  first_to_lower() %>%
  select(marital, status, time) %>%
  nest(-marital) %>%
  mutate(stats = purrr::map(data, calculate_logodds_table, time, status, "bad")) %>%
  select(marital, stats) %>%
  unnest()

konradsemsch/aider documentation built on May 22, 2019, 2:40 p.m.