Description Usage Arguments Value Examples

cluster_rs implements a random sampling procedure in which groups of units are sampled together (as a cluster). This function conducts complete random sampling at the cluster level, unless simple = TRUE, in which case `simple_rs`

analogues are used.

1 2 |

`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 numeric vector of length N that indicates if a unit is sampled (1) or not (0).

1 2 3 4 5 6 7 | ```
clusters <- rep(letters, times=1:26)
S <- cluster_rs(clusters = clusters)
table(S, clusters)
S <- cluster_rs(clusters = clusters, n = 13)
table(S, clusters)
``` |

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

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