# Inclusion Probabilities: Stratified Random Sampling

Source:`R/strata_rs.R`

`strata_rs_probabilities.Rd`

Inclusion Probabilities: Stratified Random Sampling

## Usage

```
strata_rs_probabilities(
strata = 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. Can be a character, factor, or numeric vector. (required)

- prob
Use for a design in which either floor(N_stratum*prob) or ceiling(N_stratum*prob) units are sampled within each stratum. The probability of being sampled is exactly prob because with probability 1-prob, floor(N_stratum*prob) units will be sampled and with probability prob, ceiling(N_stratum*prob) units 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, strata, 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, strata, unique) will be passed to

`strata_n`

.- strata_n
Use for a design in which the numeric vector 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

```
strata <- rep(c("A", "B","C"), times = c(50, 100, 200))
probs <- strata_rs_probabilities(strata = strata)
table(strata, probs)
#> probs
#> strata 0.5
#> A 50
#> B 100
#> C 200
probs <- strata_rs_probabilities(strata = strata, prob = .2)
table(strata, probs)
#> probs
#> strata 0.2
#> A 50
#> B 100
#> C 200
probs <- strata_rs_probabilities(strata = strata, strata_prob = c(.1, .2, .3))
table(strata, probs)
#> probs
#> strata 0.1 0.2 0.3
#> A 50 0 0
#> B 0 100 0
#> C 0 0 200
probs <- strata_rs_probabilities(strata = strata, strata_n = c(10, 40, 70))
table(strata, probs)
#> probs
#> strata 0.2 0.35 0.4
#> A 50 0 0
#> B 0 0 100
#> C 0 200 0
```