A B C D E F G K L M N P R S T V
aggregateIndividualDocumentStatistics | aggregateIndividualDocumentStatistics |
AnalyseResiduals | AnalyseResiduals |
boxplotAndDensityCurveOnHistogram | boxplotAndDensityCurveOnHistogram |
boxplotHV | boxplotHV |
calc.a | calc.a |
calc.b | calc.b |
Calc4GroupNPStats | Calc4GroupNPStats |
calcCliffdConfidenceIntervals | calcCliffdConfidenceIntervals |
calcCliffdTestStatistics | calcCliffdTestStatistics |
calcEffectSizeConfidenceIntervals | calcEffectSizeConfidenceIntervals |
calcPHatConfidenceIntervals | calcPHatConfidenceIntervals |
calcPHatMATestStatistics | calcPHatMATestStatistics |
calculate2GBias | calculate2GBias |
calculate2GType1Error | calculate2GType1Error |
calculate4GBias | calculate4GBias |
calculate4GType1Error | calculate4GType1Error |
calculateBasicStatistics | calculateBasicStatistics |
calculateCliffd | calculateCliffd |
calculateGroupSummaryStatistics | calculateGroupSummaryStatistics |
calculateHg | calculateHg |
calculateKendalltaupb | @title calculateKendalltaupb @description Computes point bi-serial version of Kendall's tau plus a 1-alpha confidence interval using the method recommended by Long and Cliff (1997). The algorithm is based on Wilcox's code but was extended to return the consistent variance and the confidence intervals based on the t-distribution. Also added a Diagnostic parameter to output internal calculations. |
calculateLargeSampleRandomizedBlockDesignEffectSizes | calculateLargeSampleRandomizedBlockDesignEffectSizes |
calculateLargeSampleRandomizedDesignEffectSizes | calculateLargeSampleRandomizedDesignEffectSizes |
CalculateLevel2ExperimentRData | CalculateLevel2ExperimentRData |
calculateMABias | calculateMABias |
calculateMAType1Error | calculateMAType1Error |
calculateNullESAccuracy | calculateNullESAccuracy |
calculatePhat | calculatePhat |
calculatePopulationStatistics | calculatePopulationStatistics |
CalculateRLevel1 | CalculateRLevel1 |
calculateSmallSampleSizeAdjustment | calculateSmallSampleSizeAdjustment |
CatchError | CatchError |
checkIfValidDummyVariable | checkIfValidDummyVariable |
Ciolkowski09ESEM.MetaAnalysis.PBRvsCBRorAR | Ciolkowski09ESEM.MetaAnalysis.PBRvsCBRorAR data |
Cliffd.test | Cliffd.test |
constructEffectSizes | constructEffectSizes |
ConstructLevel1ExperimentRData | ConstructLevel1ExperimentRData |
crossoverResidualAnalysis | crossoverResidualAnalysis |
densityCurveOnHistogram | densityCurveOnHistogram |
doLM | doLM |
effectSizeCI | effectSizeCI |
ExtractExperimentData | ExtractExperimentData |
ExtractGroupSizeData | ExtractGroupSizeData |
ExtractMAStatistics | ExtractMAStatistics |
ExtractSummaryStatisticsRandomizedExp | ExtractSummaryStatisticsRandomizedExp |
fmt | fmt |
getEffectSizesABBA | getEffectSizesABBA |
getEffectSizesABBAIgnoringPeriodEffect | getEffectSizesABBAIgnoringPeriodEffect |
getSimulationData | getSimulationData |
getTheoreticalEffectSizeVariancesABBA | getTheoreticalEffectSizeVariancesABBA |
KitchenhamEtAl.CorrelationsAmongParticipants.Abrahao13TSE | KitchenhamEtAl.CorrelationsAmongParticipants.Abrahao13TSE data |
KitchenhamEtAl.CorrelationsAmongParticipants.Gravino15JVLC | KitchenhamEtAl.CorrelationsAmongParticipants.Gravino15JVLC data |
KitchenhamEtAl.CorrelationsAmongParticipants.Madeyski10 | KitchenhamEtAl.CorrelationsAmongParticipants.Madeyski10 data |
KitchenhamEtAl.CorrelationsAmongParticipants.Reggio15SSM | KitchenhamEtAl.CorrelationsAmongParticipants.Reggio15SSM data |
KitchenhamEtAl.CorrelationsAmongParticipants.Ricca10TSE | KitchenhamEtAl.CorrelationsAmongParticipants.Ricca10TSE data |
KitchenhamEtAl.CorrelationsAmongParticipants.Ricca14TOSEM | KitchenhamEtAl.CorrelationsAmongParticipants.Ricca14TOSEM data |
KitchenhamEtAl.CorrelationsAmongParticipants.Romano18ESEM | KitchenhamEtAl.CorrelationsAmongParticipants.Romano18ESEM data |
KitchenhamEtAl.CorrelationsAmongParticipants.Scanniello14EASE | KitchenhamEtAl.CorrelationsAmongParticipants.Scanniello14EASE data |
KitchenhamEtAl.CorrelationsAmongParticipants.Scanniello14JVLC | KitchenhamEtAl.CorrelationsAmongParticipants.Scanniello14JVLC data |
KitchenhamEtAl.CorrelationsAmongParticipants.Scanniello14TOSEM | KitchenhamEtAl.CorrelationsAmongParticipants.Scanniello14TOSEM data |
KitchenhamEtAl.CorrelationsAmongParticipants.Scanniello15EMSE | KitchenhamEtAl.CorrelationsAmongParticipants.Scanniello15EMSE data |
KitchenhamEtAl.CorrelationsAmongParticipants.Scanniello17TOSEM | KitchenhamEtAl.CorrelationsAmongParticipants.Scanniello17TOSEM data |
KitchenhamEtAl.CorrelationsAmongParticipants.Torchiano17JVLC | KitchenhamEtAl.CorrelationsAmongParticipants.Torchiano17JVLC data |
KitchenhamMadeyski.SimulatedCrossoverDataSets | KitchenhamMadeyski.SimulatedCrossoverDataSets data |
KitchenhamMadeyskiBrereton.ABBAMetaAnalysisReportedResults | KitchenhamMadeyskiBrereton.ABBAMetaAnalysisReportedResults data |
KitchenhamMadeyskiBrereton.ABBAReportedEffectSizes | KitchenhamMadeyskiBrereton.ABBAReportedEffectSizes data |
KitchenhamMadeyskiBrereton.DocData | KitchenhamMadeyskiBrereton.DocData data |
KitchenhamMadeyskiBrereton.ExpData | KitchenhamMadeyskiBrereton.ExpData data |
KitchenhamMadeyskiBrereton.MetaAnalysisReportedResults | KitchenhamMadeyskiBrereton.MetaAnalysisReportedResults data |
KitchenhamMadeyskiBrereton.ReportedEffectSizes | KitchenhamMadeyskiBrereton.ReportedEffectSizes data |
KitchenhamMadeyskiBudgen16.COCOMO | KitchenhamMadeyskiBudgen16.COCOMO data |
KitchenhamMadeyskiBudgen16.DiffInDiffData | KitchenhamMadeyskiBudgen16.DiffInDiffData data |
KitchenhamMadeyskiBudgen16.FINNISH | KitchenhamMadeyskiBudgen16.FINNISH data |
KitchenhamMadeyskiBudgen16.PolishData | KitchenhamMadeyskiBudgen16.PolishData data |
KitchenhamMadeyskiBudgen16.PolishSubjects | KitchenhamMadeyskiBudgen16.PolishSubjects data |
KitchenhamMadeyskiBudgen16.SubjectData | KitchenhamMadeyskiBudgen16.SubjectData |
LaplaceDist | LaplaceDist |
Madeyski15EISEJ.OpenProjects | Madeyski15EISEJ.OpenProjects data |
Madeyski15EISEJ.PropProjects | Madeyski15EISEJ.PropProjects data |
Madeyski15EISEJ.StudProjects | Madeyski15EISEJ.StudProjects data |
Madeyski15SQJ.NDC | Madeyski15SQJ.NDC data |
MadeyskiKitchenham.EUBASdata | MadeyskiKitchenham.EUBASdata data |
MadeyskiKitchenham.MetaAnalysis.PBRvsCBRorAR | MadeyskiKitchenham.MetaAnalysis.PBRvsCBRorAR data |
MadeyskiLewowski.IndustryRelevantGitHubJavaProjects20190324 | MadeyskiLewowski.IndustryRelevantGitHubJavaProjects20190324 data |
MadeyskiLewowski.IndustryRelevantGitHubJavaProjects20191022 | MadeyskiLewowski.IndustryRelevantGitHubJavaProjects20191022 data |
metaanalyse.Cliffd | metaanalyse.Cliffd |
metaanalyse.PHat | metaanalyse.PHat |
metaanalyseSmallSampleSizeExperiments | metaanalyseSmallSampleSizeExperiments |
MetaAnalysisSimulations | MetaAnalysisSimulations |
NP2GMetaAnalysisSimulation | NP2GMetaAnalysisSimulation |
NP4GMetaAnalysisSimulation | NP4GMetaAnalysisSimulation |
percentageInaccuracyOfLargeSampleVarianceApproximation | percentageInaccuracyOfLargeSampleVarianceApproximation |
PHat.test | PHat.test |
PHatonesidedTestStatistics | PHatonesidedTestStatistics |
PHattwosidedTestStatistics | PHattwosidedTestStatistics |
plotOutcomesForIndividualsInEachSequenceGroup | plotOutcomesForIndividualsInEachSequenceGroup |
PrepareForMetaAnalysisGtoR | PrepareForMetaAnalysisGtoR |
printXTable | printXTable |
proportionOfSignificantTValuesUsingCorrectAnalysis | proportionOfSignificantTValuesUsingCorrectAnalysis |
proportionOfSignificantTValuesUsingIncorrectAnalysis | proportionOfSignificantTValuesUsingIncorrectAnalysis |
RandomExperimentSimulations | RandomExperimentSimulations |
RandomizedBlockDesignEffectSizes | RandomizedBlockDesignEffectSizes |
RandomizedBlocksAnalysis | RandomizedBlocksAnalysis |
RandomizedBlocksExperimentSimulations | title RandomizedBlocksExperimentSimulations description This function performs multiple simulations of 4 group balanced randomised Block experiments with two control groups and two treatment groups where one control group and one treatment group are assigned to block 1 and the other control group and treatment group are assigned to block 2. The simulations are based on one of four distributions and a specific group size. The function identifies the average value of the non-parametric effect sizes P-hat, Cliff' d and their variances and whether ot not the statistics were significant at the 0.05 level. We also present the values of the t-test as a comparison. |
RandomizedDesignEffectSizes | RandomizedDesignEffectSizes |
readExcelSheet | readExcelSheet |
reproduceForestPlotRandomEffects | reproduceForestPlotRandomEffects() |
reproduceMixedEffectsAnalysisWithEstimatedVarianceAndExperimentalDesignModerator | reproduceMixedEffectsAnalysisWithEstimatedVarianceAndExperimentalDesignModerator() |
reproduceMixedEffectsAnalysisWithExperimentalDesignModerator | reproduceMixedEffectsAnalysisWithExperimentalDesignModerator() |
reproduceMixedEffectsForestPlotWithExperimentalDesignModerator | reproduceMixedEffectsForestPlotWithExperimentalDesignModerator() |
reproduceSimulationResultsBasedOn500Reps1000Obs | reproduceSimulationResultsBasedOn500Reps1000Obs |
reproduceTablesOfPaperMetaAnalysisForFamiliesOfExperiments | reproduceTablesOfPaperMetaAnalysisForFamiliesOfExperiments |
reproduceTableWithEffectSizesBasedOnMeanDifferences | reproduceTableWithEffectSizesBasedOnMeanDifferences() |
reproduceTableWithPossibleModeratingFactors | reproduceTableWithPossibleModeratingFactors() |
reproduceTableWithSourceDataByCiolkowski | reproduceTableWithSourceDataByCiolkowski |
rSimulations | rSimulations |
searchForIndustryRelevantGitHubProjects | searchForIndustryRelevantGitHubProjects |
simulate2GExperimentData | simulate2GExperimentData |
simulate4GExperimentData | simulate4GExperimentData |
simulateRandomizedBlockDesignEffectSizes | simulateRandomizedBlockDesignEffectSizes |
simulateRandomizedDesignEffectSizes | simulateRandomizedDesignEffectSizes |
testfunctionParameterChecks | testfunctionParameterChecks |
transformHgtoR | transformHgtoR |
transformHgtoZr | transformHgtoZr |
transformRtoHg | transformRtoHg |
transformRtoZr | transformRtoZr |
transformZrtoHg | transformZrtoHg |
transformZrtoHgapprox | transformZrtoHgapprox |
transformZrtoR | transformZrtoR |
varStandardizedEffectSize | varStandardizedEffectSize |