stratified_stat: Estimate the stratified statistic from a stratified sample...
In danjdrennan/surveyr: Summary Statistics and Visualizations for Surveys

Description Usage Arguments Value References Examples

View source: R/stratified_sample.R

Helper to compute stratified estimates for means, totals, and proportions. Composes tables from make_summary to estimate the stratified statistic.

1	stratified_stat(.tbl, .stat = "mean", .fpc = TRUE)

`.tbl`	Output from (or similar to) `make_summary`
`.stat`	One of "mean", "total", or "prop"
`.fpc`	Logical to use or exclude a finite population correction

A tibble table combining components of a stratified estimator and providing estimates for

`Ntotal`	The total population size
`ntotal`	The total sample size
`point`	The point estimate (stat) provided
`var`	The variance of the point estimator
`se`	The standard error
`cv`	The coefficient of variation

Lohr, Sharon L. Sampling: Design and Analysis. Chapman and Hall/CRC, 2019.

# First need to get output from make_summary
d <- data.frame("stratum"=rep(1:5, 6), "y"=rnorm(30, 30, 3))
N <- 50
ms <- make_summary(d, stratum, y, N, .stat="total")
stratified_stat(ms, .stat="total")
# Can equivalently pipe the output from make_summary into stratified_stat
# (Note how easily the estimated statistic can be computed)
make_summary(d, stratum, y, N, .stat="mean") %>%
stratified_stat(.stat="mean")