Calculate sample size and decision rule for a specified LQAS sampling plan
Source:R/01-sample_size.R
get_sample.Rd
Calculate sample size and decision rule for a specified LQAS sampling plan
Usage
get_sample_n(N, dLower, dUpper, alpha = 0.1, beta = 0.1)
get_sample_d(N, n, dLower, dUpper, alpha = 0.1, beta = 0.1)
Arguments
- N
Total population size of cases in the specified survey area
- dLower
Lower triage threshold. Values from 0 to 1.
- dUpper
Upper triage threshold. Values from 0 to 1.
- alpha
Maximum tolerable alpha error. Values from 0 to 1. Default is 0.1
- beta
Maximum tolerable beta error. Values from 0 to 1. Default is 0.1
- n
Sample size
Value
A list of values providing the LQAS sampling plan for the specified parameters. The list includes sample size, decision rule, alpha error and beta error for the specified classification scheme
Examples
get_sample_n(N = 600, dLower = 0.7, dUpper = 0.9)
#> $n
#> [1] 25
#>
#> $d
#> [1] 20
#>
#> $alpha
#> [1] 0.09357163
#>
#> $beta
#> [1] 0.08585219
#>
get_sample_d(N = 600, n = 40, dLower = 0.7, dUpper = 0.9)
#> $n
#> [1] 40
#>
#> $d
#> [1] 32
#>
#> $alpha
#> [1] 0.03637535
#>
#> $beta
#> [1] 0.04944484
#>