tests/testthat/test-ldnormalGeneralized.R

In jasp-stats/jaspDistributions: Distributions Module for JASP

context("Discover Distributions - Generalized normal")

options <- jaspTools::analysisOptions("LDnormalGeneralized")
options$mu <- 0
options$alpha <- 0.5
options$beta <- 1.5
options$andersonDarling <- TRUE
options$ciInterval <- TRUE
options$ciIntervalInterval <- 0.95
options$cramerVonMisses <- TRUE
options$estCDF <- TRUE
options$estPDF <- TRUE
options$highlightDensity <- TRUE
options$highlightProbability <- TRUE
options$histogram <- FALSE
options$kolmogorovSmirnov <- TRUE
options$methodMLE <- FALSE #TRUE
options$newVariableName <- ""
options$outputEstimates <- TRUE
options$outputSE <- TRUE
options$parsSupportMoments <- TRUE
options$plotCDF <- TRUE
options$plotQF <- TRUE
options$ppplot <- TRUE
options$qqplot <- TRUE
options$qqPlotCi <- FALSE
options$qqPlotCiLevel <- 0.95
options$ppPlotCi <- FALSE
options$ppPlotCiLevel <- 0.95
options$sampleSize <- 1000
options$variable <- "normalGeneralized"
set.seed(1)
results <- jaspTools::runAnalysis("LDnormalGeneralized",
                                  data.frame(normalGeneralized = gnorm::rgnorm(100, mu = 1, alpha = 0.5, beta = 1.5)),
                                  options)

test_that("Descriptives table results match", {
  table <- results[["results"]][["dataContainer"]][["collection"]][["dataContainer_summary"]][["data"]]
  jaspTools::expect_equal_tables(table,
                                 list(2.25683628981592, 0.987838832671709, 0.956160592965752, 0.0727795249692236,
                                      0.743005904518421, 1.24924501733389, 100, 0.403838586489635,
                                      0.163085603937947, "normalGeneralized"))
})

test_that("Estimated Parameters table results match", {
  table <- results[["results"]][["mleContainer"]][["collection"]][["mleContainer_estParametersTable"]][["data"]]
  jaspTools::expect_equal_tables(table,
                                 list(0.989569914310718, 0.910803535794504, "<unicode>", 0.0401876662721935,
                                      1.06833629282693, 0.590060649223156, 0.45258564279765, "<unicode>",
                                      0.0701415982690965, 0.727535655648662, 2.16282076420911, 1.26949342164674,
                                      "<unicode>", 0.455787631614062, 3.05614810677148))
})

test_that("Empirical vs. Theoretical CDF plot matches", {
  plotName <- results[["results"]][["mleContainer"]][["collection"]][["mleContainer_mleFitAssessment"]][["collection"]][["mleContainer_mleFitAssessment_estCDF"]][["data"]]
  testPlot <- results[["state"]][["figures"]][[plotName]][["obj"]]
  jaspTools::expect_equal_plots(testPlot, "empirical-vs-theoretical-cdf", dir="LDnormalGeneralized")
})

test_that("Histogram vs. Theoretical PDF plot matches", {
  plotName <- results[["results"]][["mleContainer"]][["collection"]][["mleContainer_mleFitAssessment"]][["collection"]][["mleContainer_mleFitAssessment_estPDF"]][["data"]]
  testPlot <- results[["state"]][["figures"]][[plotName]][["obj"]]
  jaspTools::expect_equal_plots(testPlot, "histogram-vs-theoretical-pdf", dir="LDnormalGeneralized")
})

test_that("Fit Statistics table results match", {
  table <- results[["results"]][["mleContainer"]][["collection"]][["mleContainer_mleFitAssessment"]][["collection"]][["mleContainer_mleFitAssessment_fitStatisticsTable"]][["data"]]
  jaspTools::expect_equal_tables(table,
                                 list(0.963343782076982, 0.0500935454432586, "Kolmogorov-Smirnov", 0,
                                      0, 0, 0.816086375864447, 0.27808861034833, "Cram<unicode>r-von Mises",
                                      0, 0, 0, 0.537418461091139, 2.18427755874911, "Anderson-Darling"
                                 ))
})

test_that("P-P plot matches", {
  plotName <- results[["results"]][["mleContainer"]][["collection"]][["mleContainer_mleFitAssessment"]][["collection"]][["mleContainer_mleFitAssessment_ppplot"]][["data"]]
  testPlot <- results[["state"]][["figures"]][[plotName]][["obj"]]
  jaspTools::expect_equal_plots(testPlot, "p-p-plot", dir="LDnormalGeneralized")
})

test_that("Q-Q plot matches", {
  plotName <- results[["results"]][["mleContainer"]][["collection"]][["mleContainer_mleFitAssessment"]][["collection"]][["mleContainer_mleFitAssessment_qqplot"]][["data"]]
  testPlot <- results[["state"]][["figures"]][[plotName]][["obj"]]
  jaspTools::expect_equal_plots(testPlot, "q-q-plot", dir="LDnormalGeneralized")
})

test_that("Cumulative Probability Plot matches", {
  plotName <- results[["results"]][["plotCDF"]][["collection"]][["plotCDF_cdfPlot"]][["data"]]
  testPlot <- results[["state"]][["figures"]][[plotName]][["obj"]]
  jaspTools::expect_equal_plots(testPlot, "cumulative-probability-plot", dir="LDnormalGeneralized")
})

test_that("Density Plot matches", {
  plotName <- results[["results"]][["plotPDF"]][["collection"]][["plotPDF_pdfPlot"]][["data"]]
  testPlot <- results[["state"]][["figures"]][[plotName]][["obj"]]
  jaspTools::expect_equal_plots(testPlot, "density-plot", dir="LDnormalGeneralized")
})

test_that("Quantile Plot matches", {
  plotName <- results[["results"]][["plotQF"]][["collection"]][["plotQF_qfPlot"]][["data"]]
  testPlot <- results[["state"]][["figures"]][[plotName]][["obj"]]
  jaspTools::expect_equal_plots(testPlot, "quantile-plot", dir="LDnormalGeneralized")
})