tests/testthat/test-ldexponential.R

In jasp-stats/jaspDistributions: Distributions Module for JASP

context("Discover Distributions - Exponential")

options <- jaspTools::analysisOptions("LDexponential")
options$.meta <- list(newVariableName = list(containsColumn = TRUE), variable = list(
  containsColumn = TRUE))
options$andersonDarling <- TRUE
options$ciInterval <- TRUE
options$ciIntervalInterval <- 0.95
options$cramerVonMisses <- TRUE
options$ecdf <- TRUE
options$estCDF <- TRUE
options$estPDF <- TRUE
options$explanatoryText <- TRUE
options$highlightDensity <- TRUE
options$highlightProbability <- TRUE
options$histogram <- TRUE
options$kolmogorovSmirnov <- TRUE
options$methodMLE <- TRUE
options$moments <- TRUE
options$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$ppPlotCiLevel <- 0.95
options$summary <- TRUE
options$variable <- "Exp100(rate=1)"
set.seed(1)
results <- jaspTools::runAnalysis("LDexponential", "Distributions.csv", 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="LDexponential")
})

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="LDexponential")
})

test_that("Observed Moments table results match", {
  table <- results[["results"]][["dataContainer"]][["collection"]][["dataContainer_moments"]][["data"]]
  jaspTools::expect_equal_tables(table,
                      list(1.00639351606888, 1, 1.00639351606888, 0.968861476760579, 2, 1.98168938594605
                      ))
})

test_that("Descriptives table results match", {
  table <- results[["results"]][["dataContainer"]][["collection"]][["dataContainer_summary"]][["data"]]
  jaspTools::expect_equal_tables(table,
                      list(4.69972245742507, 1.00639351606888, 0.659248685929924, 0.0128922429867089,
                           0.334290729767574, 1.35460073356972, 100, 0.989266372785317,
                           0.978647956323817, "Exp100(rate=1)"))
})

test_that("Estimated Parameters table results match", {
  table <- results[["results"]][["mleContainer"]][["collection"]][["mleContainer_estParametersTable"]][["data"]]
  jaspTools::expect_equal_tables(table,
                      list(0.993647312037277, 0.798896214791833, "<unicode>", 0.0993646305654677,
                           1.18839840928272))
})

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="LDexponential")
})

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="LDexponential")
})

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(0.94115485617059, 0.0530360837677883, "Kolmogorov-Smirnov", 0,
                                      0, 0, 0.898218773907286, 0.238736543833128, "Cram<unicode>r-von Mises",
                                      0, 0, 0, 0.516901636542147, 2.23015208748715, "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="LDexponential")
})

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="LDexponential")
})

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="LDexponential")
})

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="LDexponential")
})

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="LDexponential")
})