Inclusion Probabilities: Cluster Sampling
Inclusion Probabilities: Cluster Sampling
cluster_rs_probabilities(clusters = NULL, n = NULL, n_unit = NULL, prob = NULL, prob_unit = NULL, simple = FALSE, check_inputs = TRUE)
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 |
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. |
A vector length N indicating the probability of being sampled.
# 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)
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