tests/testthat/test-lduniform.R

In jasp-stats/jaspDistributions: Distributions Module for JASP

context("Discover Distributions - Uniform")

options <- jaspTools::analysisOptions("LDuniform")
options$explanatoryText <- TRUE
options$parsSupportMoments <- TRUE
options$plotCDF <- TRUE
options$plotQF <- TRUE
options$highlightDensity <- TRUE
options$highlightProbability <- TRUE
options$moments <- TRUE
options$ecdf <- TRUE
options$andersonDarling <- TRUE
options$ciInterval <- TRUE
options$ciIntervalInterval <- 0.95
options$cramerVonMisses <- TRUE
options$estCDF <- TRUE
options$estPDF <- TRUE
options$kolmogorovSmirnov <- TRUE
options$methodMLE <- FALSE
options$newVariableName <- ""
options$outputEstimates <- TRUE
options$outputSE <- TRUE
options$ppplot <- TRUE
options$qqplot <- TRUE
options$qqPlotCi <- FALSE
options$qqPlotCiLevel <- 0.95
options$ppPlotCi <- FALSE
options$ppPlotCiLevel <- 0.95
options$variable <- "uniform"
set.seed(1)

results <- jaspTools::runAnalysis("LDuniform",
                                  data.frame(uniform = runif(100, 0, 1)),
                                  options)

test_that("Empirical Cumulative Distribution plot matches", {
  plotName <- results[["results"]][["dataContainer"]][["collection"]][["dataContainer_ecdf"]][["data"]]
  testPlot <- results[["state"]][["figures"]][[plotName]][["obj"]]
  jaspTools::expect_equal_plots(testPlot, "empirical-cumulative-distribution", dir="LDuniform")
})

test_that("Histogram plot matches", {
  plotName <- results[["results"]][["dataContainer"]][["collection"]][["dataContainer_histogram"]][["data"]]
  testPlot <- results[["state"]][["figures"]][[plotName]][["obj"]]
  jaspTools::expect_equal_plots(testPlot, "histogram", dir="LDuniform")
})

test_that("Observed Moments table results match", {
  table <- results[["results"]][["dataContainer"]][["collection"]][["dataContainer_moments"]][["data"]]
  jaspTools::expect_equal_tables(table,
                                 list(0.517847064710222, 1, 0.517847064710222, 0.0708855901807386, 2,
                                      0.339051172609732))
})

test_that("Descriptives table results match", {
  table <- results[["results"]][["dataContainer"]][["collection"]][["dataContainer_summary"]][["data"]]
  jaspTools::expect_equal_tables(table,
                                 list(0.991906094830483, 0.517847064710222, 0.487810711259954, 0.0133903331588954,
                                      0.323082040704321, 0.76719335798407, 100, 0.267584764594643,
                                      0.0716016062431703, "uniform"))
})

test_that("Estimated Parameters table results match", {
  table <- results[["results"]][["mleContainer"]][["collection"]][["mleContainer_estParametersTable"]][["data"]]
  jaspTools::expect_equal_tables(table,
                                 list(0.0133903331588954, -0.0166720258594487, "a", 0.0133903331588954,
                                      0.991906094830483, 0.991906094830483, "b", 1.02196845384883
                                 ))
})

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="LDuniform")
})

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="LDuniform")
})

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(0.719021020552384, 0.0695314208392983, "Kolmogorov-Smirnov", 0,
                                      0, 0, 0.789102680660299, 0.289615018337558, "Cram<unicode>r-von Mises",
                                      0, 0, 0, 0.000599838025738153, "<unicode>", "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="LDuniform")
})

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="LDuniform")
})

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="LDuniform")
})

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="LDuniform")
})

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="LDuniform")
})