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Function to produce misclassification probabilities

Source: R/04-test_classifier.R
get_class_prob.Rd

Function to produce misclassification probabilities

Usage

get_class_prob(x)

Arguments

x

Simulated results data produced by test_lqas_classifier()

Value

A list of LQAS misclassification probabilities results

Examples

sim <- test_lqas_classifier(replicates = 5, runs = 5,
                            pop = 10000, n = 40,
                            d.lower = 60, d.upper = 90)
#> Running simulations for proportion := 0%
#> Running simulations for proportion := 1%
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#> Running simulations for proportion := 98%
#> Running simulations for proportion := 99%
#> Running simulations for proportion := 100%
#> Running simulations for proportion := 0%
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#> Running simulations for proportion := 0%
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#> Running simulations for proportion := 94%
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#> Running simulations for proportion := 100%
#> Running simulations for proportion := 0%
#> Running simulations for proportion := 1%
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#> Running simulations for proportion := 86%
#> Running simulations for proportion := 87%
#> Running simulations for proportion := 88%
#> Running simulations for proportion := 89%
#> Running simulations for proportion := 90%
#> Running simulations for proportion := 91%
#> Running simulations for proportion := 92%
#> Running simulations for proportion := 93%
#> Running simulations for proportion := 94%
#> Running simulations for proportion := 95%
#> Running simulations for proportion := 96%
#> Running simulations for proportion := 97%
#> Running simulations for proportion := 98%
#> Running simulations for proportion := 99%
#> Running simulations for proportion := 100%
#> Running simulations for proportion := 0%
#> Running simulations for proportion := 1%
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#> Running simulations for proportion := 16%
#> Running simulations for proportion := 17%
#> Running simulations for proportion := 18%
#> Running simulations for proportion := 19%
#> Running simulations for proportion := 20%
#> Running simulations for proportion := 21%
#> Running simulations for proportion := 22%
#> Running simulations for proportion := 23%
#> Running simulations for proportion := 24%
#> Running simulations for proportion := 25%
#> Running simulations for proportion := 26%
#> Running simulations for proportion := 27%
#> Running simulations for proportion := 28%
#> Running simulations for proportion := 29%
#> Running simulations for proportion := 30%
#> Running simulations for proportion := 31%
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#> Running simulations for proportion := 33%
#> Running simulations for proportion := 34%
#> Running simulations for proportion := 35%
#> Running simulations for proportion := 36%
#> Running simulations for proportion := 37%
#> Running simulations for proportion := 38%
#> Running simulations for proportion := 39%
#> Running simulations for proportion := 40%
#> Running simulations for proportion := 41%
#> Running simulations for proportion := 42%
#> Running simulations for proportion := 43%
#> Running simulations for proportion := 44%
#> Running simulations for proportion := 45%
#> Running simulations for proportion := 46%
#> Running simulations for proportion := 47%
#> Running simulations for proportion := 48%
#> Running simulations for proportion := 49%
#> Running simulations for proportion := 50%
#> Running simulations for proportion := 51%
#> Running simulations for proportion := 52%
#> Running simulations for proportion := 53%
#> Running simulations for proportion := 54%
#> Running simulations for proportion := 55%
#> Running simulations for proportion := 56%
#> Running simulations for proportion := 57%
#> Running simulations for proportion := 58%
#> Running simulations for proportion := 59%
#> Running simulations for proportion := 60%
#> Running simulations for proportion := 61%
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#> Running simulations for proportion := 70%
#> Running simulations for proportion := 71%
#> Running simulations for proportion := 72%
#> Running simulations for proportion := 73%
#> Running simulations for proportion := 74%
#> Running simulations for proportion := 75%
#> Running simulations for proportion := 76%
#> Running simulations for proportion := 77%
#> Running simulations for proportion := 78%
#> Running simulations for proportion := 79%
#> Running simulations for proportion := 80%
#> Running simulations for proportion := 81%
#> Running simulations for proportion := 82%
#> Running simulations for proportion := 83%
#> Running simulations for proportion := 84%
#> Running simulations for proportion := 85%
#> Running simulations for proportion := 86%
#> Running simulations for proportion := 87%
#> Running simulations for proportion := 88%
#> Running simulations for proportion := 89%
#> Running simulations for proportion := 90%
#> Running simulations for proportion := 91%
#> Running simulations for proportion := 92%
#> Running simulations for proportion := 93%
#> Running simulations for proportion := 94%
#> Running simulations for proportion := 95%
#> Running simulations for proportion := 96%
#> Running simulations for proportion := 97%
#> Running simulations for proportion := 98%
#> Running simulations for proportion := 99%
#> Running simulations for proportion := 100%
get_class_prob(x = sim)
#>                     Low : 0.952
#>                Moderate : 0.8293
#>                    High : 0.78
#>                 Overall : 0.898
#> Gross misclassification : 0
#>