complete_rs implements a random sampling procedure in which fixed numbers of units are sampled. The canonical example of complete random sampling is a procedure in which exactly n of N units are sampled.
Users can set the exact number of units to sample with n. Alternatively, users can specify the probability of being sampled with prob and complete_rs will infer the correct number of units to sample. complete_rs will either sample floor(N*prob) or ceiling(N*prob) units, choosing between these two values to ensure that the overall probability of being sampled is exactly prob. Users should specify N and not more than one of n or prob.
If only N is specified, N/2 units will be sampled. If N is odd, either floor(N/2) units or ceiling(N/2) units will be sampled.
complete_rs(N, n = NULL, n_unit = NULL, prob = NULL, prob_unit = NULL, check_inputs = TRUE)
The number of units. N must be a positive integer. (required)
Use for a design in which exactly n units are sampled. (optional)
unique(n_unit) will be passed to
Use for a design in which either floor(N*prob) or ceiling(N*prob) units are sampled. The probability of being sampled is exactly prob because with probability 1-prob, floor(N*prob) units will be sampled and with probability prob, ceiling(N*prob) units will be sampled. prob must be a real number between 0 and 1 inclusive. (optional)
unique(prob_unit) will be passed to the prob argument and must be the same for all units.
logical. Defaults to TRUE.
A numeric vector of length N that indicates if a unit is sampled (1) or not (0).
S <- complete_rs(N = 100) table(S)#> S #> 0 1 #> 50 50S <- complete_rs(N = 100, n = 50) table(S)#> S #> 0 1 #> 50 50#> S #> 0 1 #> 50 50S <- complete_rs(N = 100, prob = .111) table(S)#> S #> 0 1 #> 89 11#> S #> 0 1 #> 90 10# If N = n, sample with 100% probability... complete_rs(N=2, n=2)#>  1 1# Up through randomizr 0.12.0, # This behavior has been deprecated complete_rs(N=1, n=1) # sampled with 50% probability#>  1