cluster_rs_probabilities: Inclusion Probabilities: Cluster Sampling

Description Usage Arguments Value Examples

Description

Inclusion Probabilities: Cluster Sampling

Usage

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cluster_rs_probabilities(clusters = NULL, n = NULL, n_unit = NULL,
  prob = NULL, prob_unit = NULL, simple = FALSE,
  check_inputs = TRUE)

Arguments

clusters

A vector of length N that indicates which cluster each unit belongs to.

n

Use for a design in which n clusters are sampled. (optional)

n_unit

unique(n_unit) will be passed to n. Must be the same for all units (optional)

prob

Use for a design in which either floor(N_clusters*prob) or ceiling(N_clusters*prob) clusters are sampled. The probability of being sampled is exactly prob because with probability 1-prob, floor(N_clusters*prob) clusters will be sampled and with probability prob, ceiling(N_clusters*prob) clusters will be sampled. prob must be a real number between 0 and 1 inclusive. (optional)

prob_unit

unique(prob_unit) will be passed to the prob argument and must be the same for all units.

simple

logical, defaults to FALSE. If TRUE, simple random sampling of clusters. When simple = TRUE, please do not specify n.

check_inputs

logical. Defaults to TRUE.

Value

A vector length N indicating the probability of being sampled.

Examples

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# Two Group Designs
clusters <- rep(letters, times = 1:26)
probs <- cluster_rs_probabilities(clusters = clusters)
table(probs, clusters)

prob_mat <- cluster_rs_probabilities(clusters = clusters, n = 10)
table(probs, clusters)

prob_mat <- cluster_rs_probabilities(clusters = clusters, prob = .3)
table(probs, clusters)

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