LQAS classifier

Usage

lqas_classify_(n, n_total, threshold = c(0.2, 0.5))

lqas_classify(n, n_total, threshold = c(0.2, 0.5))

lqas_classify_coverage(n, n_total, threshold = c(0.2, 0.5))

Arguments

n: Number of cases found.
n_total: Number sampled.
threshold: Decision rule threshold/s. Should be between 0 and 1. At least one threshold should be provided for a two-tier classifier. Two thresholds should be provided for a three-tier classifier. Default is a three-tier classifier with rule set at 0.2 and 0.5.

Value

A character value or vector indicating classification. If threshold is a single value, the generic function returns 1 if n is greater than the threshold else 0. The coverage classifier function returns "Satisfactory" if n is greater than the threshold else "Not satisfactory". If threshold is two values, the generic function returns 1 if n is greater than the first threshold and 2 if n is greater than the second threshold else 0. The CMAM coverage classifier returns "Low" if n is below or equal to lower threshold, "High" if n is above the higher threshold, and "Moderate" for all other values of n.

Author

Ernest Guevarra

Examples

lqas_classify_coverage(n = 6, n_total = 40)
#> [1] "Low"
with(survey_data, lqas_classify_coverage(n = in_cases, n_total = n))
#>  [1] "Low"      "Low"      "Low"      "Low"      "Low"      "Low"     
#>  [7] "Low"      "Moderate" "Moderate" "Moderate" "Low"      "Low"     
#> [13] "Low"      "Low"