inherit_category: Create weighting category from data

In ttrodrigz/iterake: Tools for iterative raking

Description

This function creates an individual weighting category with known marginal probabilities (E.g., age group, eye color.), but unlike category() it creates them from existing data instead of being directly assigned. One or more of these are built and fed into universe().

Usage

inherit_category(name, from, weight)

Arguments

name	Name given to weighting category, character. Must have exact match in the column names of data you intend to weight as well as the existing data from where targets are being pulled.
from	Existing data frame from where targets will be pulled.
weight	Optionally provide an existing weight variable to calculate weighted target proportions. Omit if unweighted target proportions are desired.

Value

A nested tibble with special class category.

Examples

data(demo_data)

inherit_category(
  name = "EyeColor",
  from = demo_data
)

inherit_category(
  name = "BirthYear",
  from = demo_data,
  weight = prev_weight
)

ttrodrigz/iterake documentation built on July 1, 2020, 7:46 a.m.