Inclusion Probabilities: Stratified and Clustered Random Sampling
Source:R/strata_and_cluster_rs.R
strata_and_cluster_rs_probabilities.RdInclusion Probabilities: Stratified and Clustered Random Sampling
Usage
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.
Examples
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)
#> clusters
#> strata a b c d e f g h i j k l m n o p q r s t u v
#> stratum_1 1 2 3 4 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> stratum_2 0 0 0 0 0 6 7 8 9 10 0 0 0 0 0 0 0 0 0 0 0 0
#> stratum_3 0 0 0 0 0 0 0 0 0 0 11 12 13 14 15 0 0 0 0 0 0 0
#> stratum_4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 16 17 18 19 20 0 0
#> stratum_5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 21 22
#> clusters
#> strata w x y z
#> stratum_1 0 0 0 0
#> stratum_2 0 0 0 0
#> stratum_3 0 0 0 0
#> stratum_4 0 0 0 0
#> stratum_5 23 24 25 26
probs <- strata_and_cluster_rs_probabilities(strata = strata,
clusters = clusters)
table(probs, strata)
#> strata
#> probs stratum_1 stratum_2 stratum_3 stratum_4 stratum_5
#> 0.5 15 40 65 90 141
table(probs, clusters)
#> clusters
#> probs a b c d e f g h i j k l m n o p q r s t u v w x
#> 0.5 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24
#> clusters
#> probs y z
#> 0.5 25 26
probs <- strata_and_cluster_rs_probabilities(clusters = clusters,
strata = strata,
prob = .5)
table(probs, clusters)
#> clusters
#> probs a b c d e f g h i j k l m n o p q r s t u v w x
#> 0.5 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24
#> clusters
#> probs y z
#> 0.5 25 26
table(probs, strata)
#> strata
#> probs stratum_1 stratum_2 stratum_3 stratum_4 stratum_5
#> 0.5 15 40 65 90 141
probs <- strata_and_cluster_rs_probabilities(clusters = clusters,
strata = strata,
strata_n = c(2, 3, 2, 3, 2))
table(probs, clusters)
#> clusters
#> probs a b c d e f g h i j k l m n o p q r s t
#> 0.333333333333333 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> 0.4 1 2 3 4 5 0 0 0 0 0 11 12 13 14 15 0 0 0 0 0
#> 0.6 0 0 0 0 0 6 7 8 9 10 0 0 0 0 0 16 17 18 19 20
#> clusters
#> probs u v w x y z
#> 0.333333333333333 21 22 23 24 25 26
#> 0.4 0 0 0 0 0 0
#> 0.6 0 0 0 0 0 0
table(probs, strata)
#> strata
#> probs stratum_1 stratum_2 stratum_3 stratum_4 stratum_5
#> 0.333333333333333 0 0 0 0 141
#> 0.4 15 0 65 0 0
#> 0.6 0 40 0 90 0
probs <- strata_and_cluster_rs_probabilities(clusters = clusters,
strata = strata,
strata_prob = c(.1, .2, .3, .4, .5))
table(probs, clusters)
#> clusters
#> probs a b c d e f g h i j k l m n o p q r s t u v w x
#> 0.1 1 2 3 4 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> 0.2 0 0 0 0 0 6 7 8 9 10 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> 0.3 0 0 0 0 0 0 0 0 0 0 11 12 13 14 15 0 0 0 0 0 0 0 0 0
#> 0.4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 16 17 18 19 20 0 0 0 0
#> 0.5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 21 22 23 24
#> clusters
#> probs y z
#> 0.1 0 0
#> 0.2 0 0
#> 0.3 0 0
#> 0.4 0 0
#> 0.5 25 26
table(probs, strata)
#> strata
#> probs stratum_1 stratum_2 stratum_3 stratum_4 stratum_5
#> 0.1 15 0 0 0 0
#> 0.2 0 40 0 0 0
#> 0.3 0 0 65 0 0
#> 0.4 0 0 0 90 0
#> 0.5 0 0 0 0 141