stratified_norm: Function to draw observations from stratified norm sample

In mattsigal/mmisc: Matt's Miscellaneous Functions for MHS

Description

This function creates a stratified random sample, given an arbitrary number of factors and levels within those factors.

Usage

stratified_norm(dat, strata, observations = 0, return.grid = FALSE,
  full.data = FALSE, full.data.id = "sampled")

Arguments

dat	An R data.frame object
strata	character; a named vector indicating the strata variables
observations	numeric; number of cases to sample from each strata
return.grid	logical; return grid of factor combintions?
full.data	logical; return the original dataset with a new logical variable (named from 'full.data.id') indicating whether the row was selected
full.data.id	a string pertaining the variable name used when 'full.data=TRUE'

Value

An R data.frame object, either pertaining to a grid of factor combinations or the stratified sample

Examples

## Not run: 
dat <- data.frame(Gender=sample(c("Male", "Female"), size = 1500, replace = TRUE),
               AgeGroup=sample(c("18-39", "40-49", "50+"), size = 1500, replace = TRUE),
               Relationship=sample(c("Direct", "Manager", "Coworker", "Friend"),
                    size = 1500, replace = TRUE),
               X=rnorm(n=1500, mean=0, sd=1),
               Y=rnorm(n=1500, mean=0, sd=1),
               Z=rnorm(n=1500, mean=0, sd=1))

strata = c("Gender", "AgeGroup", "Relationship")

stratified_norm(dat, strata, return.grid=TRUE)
test <- stratified_norm(dat, strata, counts = 5, return.grid=FALSE)
head(test)

stratified_norm(dat, strata, counts = 5, full.data=TRUE)

## End(Not run)

mattsigal/mmisc documentation built on May 21, 2019, 1:26 p.m.