psampcalc

object containing full sampling data frame (e.g. data)

sample size (integer) or object containing sample size

variable in sampling data frame by which to stratify (e.g. region)

strata

variable in sampling data frame containing sub-units (e.g. population)

unit

(optional) desired oversampling proportion (defaults to 0; takes value between 0 and 1 as input)

over

Determines sample size by strata using sub-units

Determine sample sizes, draw samples, and conduct data analysis using data frames. It specifically enables you to determine simple random sample sizes, stratified sample sizes, and complex stratified sample sizes using a secondary variable such as population; draw simple random samples and stratified random samples from sampling data frames; determine which observations are missing from a random sample, missing by strata, duplicated within a dataset; and perform data analysis, including proportions, margins of error and upper and lower bounds for simple, stratified and cluster sample designs.

psampcalc: Determines sample size by strata using sub-units

Description

Usage

Arguments

Value

References