# strata_and_cluster_rs_probabilities: Inclusion Probabilities: Stratified and Clustered Random... In DeclareDesign/randomizr: Easy-to-Use Tools for Common Forms of Random Assignment and Sampling

## Description

Inclusion Probabilities: Stratified and Clustered Random Sampling

## Usage

 ```1 2 3``` ```strata_and_cluster_rs_probabilities(strata = NULL, clusters = NULL, prob = NULL, prob_unit = NULL, n = NULL, n_unit = NULL, strata_n = NULL, strata_prob = NULL, check_inputs = TRUE) ```

## Arguments

 `strata` A vector of length N that indicates which stratum each unit belongs to. `clusters` A vector of length N that indicates which cluster each unit belongs to. `prob` Use for a design in which either floor(N_clusters_stratum*prob) or ceiling(N_clusters_stratum*prob) clusters are sampled within each stratum. The probability of being sampled is exactly prob because with probability 1-prob, floor(N_clusters_stratum*prob) clusters will be sampled and with probability prob, ceiling(N_clusters_stratum*prob) clusters will be sampled. prob must be a real number between 0 and 1 inclusive. (optional) `prob_unit` Must of be of length N. tapply(prob_unit, blocks, unique) will be passed to `strata_prob`. `n` Use for a design in which the scalar n describes the fixed number of units to sample in each stratum. This number does not vary across strata. `n_unit` Must be of length N. tapply(m_unit, blocks, unique) will be passed to `strata_n`. `strata_n` Use for a design in which strata_n describes the number of units to sample within each stratum. `strata_prob` Use for a design in which strata_prob describes the probability of being sampled within each stratum. Differs from prob in that the probability of being sampled can vary across strata. `check_inputs` logical. Defaults to TRUE.

## Value

A vector length N indicating the probability of being sampled.

## Examples

 ``` 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38``` ```clusters <- rep(letters, times = 1:26) strata <- rep(NA, length(clusters)) strata[clusters %in% letters[1:5]] <- "stratum_1" strata[clusters %in% letters[6:10]] <- "stratum_2" strata[clusters %in% letters[11:15]] <- "stratum_3" strata[clusters %in% letters[16:20]] <- "stratum_4" strata[clusters %in% letters[21:26]] <- "stratum_5" table(strata, clusters) probs <- strata_and_cluster_rs_probabilities(strata = strata, clusters = clusters) table(probs, strata) table(probs, clusters) probs <- strata_and_cluster_rs_probabilities(clusters = clusters, strata = strata, prob = .5) table(probs, clusters) table(probs, strata) probs <- strata_and_cluster_rs_probabilities(clusters = clusters, strata = strata, strata_n = c(2, 3, 2, 3, 2)) table(probs, clusters) table(probs, strata) probs <- strata_and_cluster_rs_probabilities(clusters = clusters, strata = strata, strata_prob = c(.1, .2, .3, .4, .5)) table(probs, clusters) table(probs, strata) ```

DeclareDesign/randomizr documentation built on June 2, 2019, 3:50 p.m.