calculate_decile_table: Calculate a decile breakdown

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

Description

This function calculates a decile table for any combination of numerical and categorical variables.

Usage

calculate_decile_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
...	Additional grouping columns to calculate deciles

Examples

recipes::credit_data %>%
  first_to_lower() %>%
  calculate_decile_table(binning = time,
                      grouping = status,
                      top_level = "bad",
                      n_bins = 10,
                      risk_names = FALSE,
                      format = FALSE)

recipes::credit_data %>%
  first_to_lower() %>%
  calculate_decile_table(binning = time,
                      grouping = status,
                      top_level = "bad",
                      n_bins = 10,
                      risk_names = FALSE,
                      format = FALSE,
                      marital) # to include an additional grouping column

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

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