Reproduce Statistical Analyses and Meta-Analyses
PHattwosidedTestStatistics
plotOutcomesForIndividualsInEachSequenceGroup
PrepareForMetaAnalysisGtoR
printXTable
proportionOfSignificantTValuesUsingCorrectAnalysis
proportionOfSignificantTValuesUsingIncorrectAnalysis
RandomExperimentSimulations
RandomizedBlockDesignEffectSizes
transformZrtoHg
transformZrtoHgapprox
transformZrtoR
aggregateIndividualDocumentStatistics
AnalyseResiduals
boxplotAndDensityCurveOnHistogram
boxplotHV
calc.a
calc.b
Calc4GroupNPStats
calcCliffdConfidenceIntervals
calcCliffdTestStatistics
calcEffectSizeConfidenceIntervals
calcPHatConfidenceIntervals
calcPHatMATestStatistics
calculate2GBias
calculate2GType1Error
calculate4GBias
calculate4GType1Error
calculateBasicStatistics
calculateCliffd
calculateGroupSummaryStatistics
calculateHg
@title calculateKendalltaupb @description Computes point bi-serial ver...
calculateLargeSampleRandomizedBlockDesignEffectSizes
calculateLargeSampleRandomizedDesignEffectSizes
CalculateLevel2ExperimentRData
calculateMABias
calculateMAType1Error
calculateNullESAccuracy
varStandardizedEffectSize
calculatePhat
calculatePopulationStatistics
CalculateRLevel1
calculateSmallSampleSizeAdjustment
CatchError
checkIfValidDummyVariable
Cliffd.test
constructEffectSizes
ConstructLevel1ExperimentRData
crossoverResidualAnalysis
densityCurveOnHistogram
doLM
effectSizeCI
ExtractExperimentData
ExtractGroupSizeData
ExtractMAStatistics
ExtractSummaryStatisticsRandomizedExp
fmt
getEffectSizesABBA
getEffectSizesABBAIgnoringPeriodEffect
getSimulationData
getTheoreticalEffectSizeVariancesABBA
LaplaceDist
metaanalyse.Cliffd
metaanalyse.PHat
metaanalyseSmallSampleSizeExperiments
MetaAnalysisSimulations
NP2GMetaAnalysisSimulation
NP4GMetaAnalysisSimulation
percentageInaccuracyOfLargeSampleVarianceApproximation
PHat.test
PHatonesidedTestStatistics
RandomizedBlocksAnalysis
title RandomizedBlocksExperimentSimulations description This function ...
RandomizedDesignEffectSizes
readExcelSheet
reproduceForestPlotRandomEffects()
reproduceMixedEffectsAnalysisWithEstimatedVarianceAndExperimentalDesig...
reproduceMixedEffectsAnalysisWithExperimentalDesignModerator()
reproduceMixedEffectsForestPlotWithExperimentalDesignModerator()
reproduceSimulationResultsBasedOn500Reps1000Obs
reproduceTablesOfPaperMetaAnalysisForFamiliesOfExperiments
reproduceTableWithEffectSizesBasedOnMeanDifferences()
reproduceTableWithPossibleModeratingFactors()
reproduceTableWithSourceDataByCiolkowski
rSimulations
searchForIndustryRelevantGitHubProjects
simulate2GExperimentData
simulate4GExperimentData
simulateRandomizedBlockDesignEffectSizes
simulateRandomizedDesignEffectSizes
testfunctionParameterChecks
transformHgtoR
transformHgtoZr
transformRtoHg
transformRtoZr
Includes data analysis and meta-analysis functions (e.g., to calculate effect sizes and 95% Confidence Intervals (CI) on Standardised Effect Sizes (d) for AB/BA cross-over repeated-measures experimental designs), data presentation functions (e.g., density curve overlaid on histogram),and the data sets analyzed in different research papers in software engineering (e.g., related to software defect prediction or multi- site experiment concerning the extent to which structured abstracts were clearer and more complete than conventional abstracts) to streamline reproducible research in software engineering.