category: Create weighting category

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.) One or more of these are built and fed into universe().

Usage

category(name, buckets, targets, sum.1 = FALSE)

Arguments

name	Name given to weighting category, character. Must have exact match in the column names of data to be weighted.
buckets	Vector corresponding to the "buckets" in which your category can be classified.
targets	Numeric vector of the proportions each element of `buckets` represents in the population.
sum.1	Whether or not to force inputs to `targets` to sum to one.

Value

A list with special class category.

Examples

category(
  name = "costume",
  buckets = c("Bat Man", "Cactus"),
  targets = c(0.645, 0.355)
)

category(
  name = "seeds",
  buckets = c("Tornado", "Bird", "Earthquake"),
  targets = c(0.3333, 0.3333, 0.3333),
  sum.1 = TRUE
)

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