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Simple Random Sampling

Source: R/simple_rs.R
simple_rs.Rd

simple_rs implements a random sampling procedure in which units are independently sampled. Because units are sampled independently, the number of units that are sampled can vary from sample to sample. For most applications in which the number of units in the sampling frame is known in advance, complete_rs is better because the number of units sampled is fixed across sampled.

Usage

simple_rs(N, prob = NULL, prob_unit = NULL, check_inputs = TRUE, simple = TRUE)

Arguments

N

The number of units. N must be a positive integer. (required)

prob

prob is the probability of being sampled must be a real number between 0 and 1 inclusive, and must be of length 1. (optional)

prob_unit

prob is the probability of being sampled must be a real number between 0 and 1 inclusive, and must be of length N. (optional)

check_inputs

logical. Defaults to TRUE.

simple

logical. internal use only.

Value

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

Examples


S <- simple_rs(N = 100)
table(S)
#> S
#>  0  1 
#> 47 53 

S <- simple_rs(N = 100, prob = 0.3)
table(S)
#> S
#>  0  1 
#> 69 31