context("Discover Distributions - Pareto")
options <- analysisOptions("LDpareto")
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$methodMLE <- TRUE
options$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$ppPlotCiLevel <- 0.95
options$variable <- "pareto"
set.seed(1)
results <- jaspTools::runAnalysis("LDpareto",
data.frame(pareto = jaspDistributions:::rpareto(n = 100, options[['shape']], options[['scale']])),
options)
test_that("Descriptives table results match", {
table <- results[["results"]][["dataContainer"]][["collection"]][["dataContainer_summary"]][["data"]]
jaspTools::expect_equal_tables(table,
list(123.549754915117, 4.68242475780387, 1.95264762208588, 1.01357206766661,
1.47733340868051, 4.29559676333304, 100, 12.5707493645755, 158.023739586976,
"pareto"))
})
test_that("Estimated Parameters table results match", {
table <- results[["results"]][["mleContainer"]][["collection"]][["mleContainer_estParametersTable"]][["data"]]
jaspTools::expect_equal_tables(table,
list(1.04980133719044, "<unicode>", 1.01357206766661, "<unicode>"
))
})
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="LDpareto")
})
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="LDpareto")
})
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(0.551750506977832, 0.0795335244498101, "Kolmogorov-Smirnov", 0,
0, 0, 0.71891899449626, 0.318238840771031, "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="LDpareto")
})
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="LDpareto")
})
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="LDpareto")
})
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="LDpareto")
})
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="LDpareto")
})
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