Reproduce Statistical Analyses and Meta-Analyses


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Documentation for package ‘reproducer’ version 0.2.1

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aggregateIndividualDocumentStatistics aggregateIndividualDocumentStatistics
boxplotAndDensityCurveOnHistogram boxplotAndDensityCurveOnHistogram
boxplotHV boxplotHV
calculateHg calculateHg
calculateSmallSampleSizeAdjustment calculateSmallSampleSizeAdjustment
Ciolkowski09ESEM.MetaAnalysis.PBRvsCBRorAR Ciolkowski09ESEM.MetaAnalysis.PBRvsCBRorAR data form a set of primary studies on reading methods for software inspections. They were reported and analysed by M. Ciolkowski ("What do we know about perspective-based reading? an approach for quantitative aggregation in software engineering", in Proceedings of the 3rd International Symposium on Empirical Software Engineering and Measurement, ESEM'09, pp. 133-144, IEEE Computer Society, 2009), corrected and re-analysed by Madeyski and Kitchenham ("How variations in experimental designs impact the construction of comparable effect sizes for meta-analysis" (to be submitted)).
constructEffectSizes constructEffectSizes
densityCurveOnHistogram densityCurveOnHistogram
effectSizeCI effectSizeCI
ExtractMAStatistics ExtractMAStatistics
fmt fmt
getEffectSizesABBA getEffectSizesABBA
getEffectSizesABBAIgnoringPeriodEffect getEffectSizesABBAIgnoringPeriodEffect
getSimulationData getSimulationData
getTheoreticalEffectSizeVariancesABBA getTheoreticalEffectSizeVariancesABBA
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
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 form a set of primary studies on reading methods for software inspections. They were analysed by Lech Madeyski and Barbara Kitchenham, "How variations in experimental designs impact the construction of comparable effect sizes for meta-analysis", 2015.
percentageInaccuracyOfLargeSampleVarianceApproximation percentageInaccuracyOfLargeSampleVarianceApproximation
plotOutcomesForIndividualsInEachSequenceGroup plotOutcomesForIndividualsInEachSequenceGroup
PrepareForMetaAnalysisGtoR PrepareForMetaAnalysisGtoR
printXTable printXTable
proportionOfSignificantTValuesUsingCorrectAnalysis proportionOfSignificantTValuesUsingCorrectAnalysis
proportionOfSignificantTValuesUsingIncorrectAnalysis proportionOfSignificantTValuesUsingIncorrectAnalysis
readExcelSheet readExcelSheet
reproduceForestPlotRandomEffects reproduceForestPlotRandomEffects()
reproduceMixedEffectsAnalysisWithEstimatedVarianceAndExperimentalDesignModerator reproduceMixedEffectsAnalysisWithEstimatedVarianceAndExperimentalDesignModerator()
reproduceMixedEffectsAnalysisWithExperimentalDesignModerator reproduceMixedEffectsAnalysisWithExperimentalDesignModerator()
reproduceMixedEffectsForestPlotWithExperimentalDesignModerator reproduceMixedEffectsForestPlotWithExperimentalDesignModerator()
reproduceSimulationResultsBasedOn500Reps1000Obs reproduceSimulationResultsBasedOn500Reps1000Obs
reproduceTablesOfPaperMetaAnalysisForFamiliesOfExperiments reproduceTablesOfPaperMetaAnalysisForFamiliesOfExperiments
reproduceTableWithEffectSizesBasedOnMeanDifferences reproduceTableWithEffectSizesBasedOnMeanDifferences()
reproduceTableWithPossibleModeratingFactors reproduceTableWithPossibleModeratingFactors()
reproduceTableWithSourceDataByCiolkowski reproduceTableWithSourceDataByCiolkowski
transformHgtoR transformHgtoR
transformRtoHg transformRtoHg
transformRtoZr transformRtoZr
transformZrtoHg transformZrtoHg
transformZrtoHgapprox transformZrtoHgapprox
transformZrtoR transformZrtoR