calculateLargeSampleRandomizedDesignEffectSizes
,
NP2GMetaAnalysisSimulation
,
NP4GMetaAnalysisSimulation
(fixed errors)calculatePhat
,
calculateCliffd
calculate2GMdMRE
,
calculate4GMdMRE
calculateCliffd
(added export)calculate2GMdMRE
,
calculate4GMdMRE
(fixed CentralPHatMdMRE
calculation)calculate2GMdMRE
,
calculate4GMdMRE
simulateRandomizedBlockDesignEffectSizes
,
NP4GroupMetaAnalysisSimulation (now
NP4GMetaAnalysisSimulation
),
RandomizedBlockDesignEffectSizes
,
percentageInaccuracyOfLargeSampleVarianceApproximation
NP4GMetaAnalysisSimulation
, NP2GroupMetaAnalysisSimulation
now NP2GMetaAnalysisSimulation
, Kendalltaupb now
calculateKendalltaupb
, CalculateTheoreticalEffectSizes now
calculatePopulationStatistics
AnalyseResiduals
calc.a
calc.b
calcCliffdConfidenceIntervals
calcEffectSizeConfidenceIntervals
calcPHatConfidenceIntervals
calculate2GMdMRE
calculate4GMdMRE
calculateCliffd
calculateLargeSampleRandomizedDesignEffectSizes
calculateLargeSampleRandomizedBlockDesignEffectSizes
calculateNullESAccuracy
CatchError
checkIfValidDummyVariable
Cliffd.test
crossoverResidualAnalysis
doLM
metaanalyseSmallSampleSizeExperiments
NP2GMetaAnalysisSimulation
NP4GMetaAnalysisSimulation
PHat.test
simulate2GExperimentData
simulate4GExperimentData
testfunctionParameterChecks
varStandardizedEffectSize
,
RandomizedBlocksAnalysis
, Kendalltaupb
,
Cliffd
, calculatePhat
,
Calc4GroupNPStats
, LaplaceDist
,
simulateRandomizedDesignEffectSizes
,
RandomExperimentSimulations
,
simulateRandomizedBlockDesignEffectSizes
,
RandomizedBlocksExperimentSimulations
,
NP4GroupMetaAnalysisSimulation
,
NP2GroupMetaAnalysisSimulation
,
MetaAnalysisSimulations
,
CalculateTheoreticalEffectSizes
,
RandomizedDesignEffectSizes
,
RandomizedBlockDesignEffectSizes
Data set:
KitchenhamEtAl.CorrelationsAmongParticipants.Madeyski10
,
KitchenhamEtAl.CorrelationsAmongParticipants.Scanniello17TOSEM
,
KitchenhamEtAl.CorrelationsAmongParticipants.Ricca10TSE
,
KitchenhamEtAl.CorrelationsAmongParticipants.Romano18ESEM
,
KitchenhamEtAl.CorrelationsAmongParticipants.Scanniello14JVLC
,
KitchenhamEtAl.CorrelationsAmongParticipants.Reggio15SSM
,
KitchenhamEtAl.CorrelationsAmongParticipants.Gravino15JVLC
,
KitchenhamEtAl.CorrelationsAmongParticipants.Ricca14TOSEM
,
KitchenhamEtAl.CorrelationsAmongParticipants.Scanniello14EASE
,
KitchenhamEtAl.CorrelationsAmongParticipants.Abrahao13TSE
,
KitchenhamEtAl.CorrelationsAmongParticipants.Torchiano17JVLC
,
KitchenhamEtAl.CorrelationsAmongParticipants.Scanniello15EMSE
,
KitchenhamEtAl.CorrelationsAmongParticipants.Scanniello14TOSEM
,
New functions including computational procedures used to
reproduce the main findings in a joint paper (planned to be submitted):
Barbara Kitchenham, Lech Madeyski, Giuseppe Scanniello and Carmine
Gravino, “The Importance of the Correlation in Crossover Experiments”:
CalculateRLevel1
, ExtractGroupSizeData
,
ConstructLevel1ExperimentRData
,
ExtractExperimentData
,
CalculateLevel2ExperimentRData
,
ExtractSummaryStatisticsRandomizedExp
,
calculateBasicStatistics
,
calculateGroupSummaryStatistics
,
rSimulations
MadeyskiLewowski.IndustryRelevantGitHubJavaProjects20191022
- over 15% of entries present in this data set is not present in the
previous data set
MadeyskiLewowski.IndustryRelevantGitHubJavaProjects20190324
due to moved time windows for the project creation and last push
dates.searchForIndustryRelevantGitHubProjects
- now supports
flexible creation date and last push thresholds (enabling the script to
better support researchers interested in gathering evolving data
sets).transformHgtoZr
,searchForIndustryRelevantGitHubProjects
MadeyskiLewowski.IndustryRelevantGitHubJavaProjects20190324
reproduceTablesOfPaperMetaAnalysisForFamiliesOfExperiments
ExtractMAStatistics
function: it
works with metafor
version 2.0-0, but changes to metafor’s
method of providing access to its individual results may introduce
errors into the function.calculateSmallSampleSizeAdjustment
,
constructEffectSizes
, transformRtoZr
,
transformZrtoR
, transformHgtoR
,
calculateHg
, transformRtoHg
,
transformZrtoHgapprox
, transformZrtoHg
,
PrepareForMetaAnalysisGtoR
,
ExtractMAStatistics
,
aggregateIndividualDocumentStatistics
,
reproduceTablesOfPaperMetaAnalysisForFamiliesOfExperiments
.KitchenhamMadeyskiBrereton.MetaAnalysisReportedResults
,
KitchenhamMadeyskiBrereton.ABBAMetaAnalysisReportedResults
,
KitchenhamMadeyskiBrereton.ReportedEffectSizes
,
KitchenhamMadeyskiBrereton.ABBAReportedEffectSizes
KitchenhamMadeyskiBrereton.ExpData
, and
KitchenhamMadeyskiBrereton.DocData
MadeyskiKitchenham.EUBASdata
and
functions getEffectSizesABBA
,
effectSizeCI
getTheoreticalEffectSizeVariancesABBA
getSimulationData
,
plotOutcomesForIndividualsInEachSequenceGroup
,
getEffectSizesABBA
, effectSizeCI
effectSizeCI
to calculate 95% Confidence
Intervals (CI) on Standardised Effect Sizes (d) for cross-over
repeated-measures designsreproduceSimulationResultsBasedOn500Reps1000Obs
function
(we agreed to write joint paper with Dr Curtin describing corrections to
his equations to calculate effect size variances for continuous outcomes
of cross-over clinical trials)getSimulationData
plotOutcomesForIndividualsInEachSequenceGroup
getEffectSizesABBA
getEffectSizesABBAIgnoringPeriodEffect
reproduceSimulationResultsBasedOn500Reps1000Obs
percentageInaccuracyOfLargeSampleVarianceApproximation
proportionOfSignificantTValuesUsingCorrectAnalysis
proportionOfSignificantTValuesUsingIncorrectAnalysis
KitchenhamMadeyski.SimulatedCrossoverDataSets
backed by
functions (varianceSimulation
,
getSimulatedCrossoverDataSets
) to reproduce the data
set.cloudOfWords
KitchenhamMadeyskiBudgen16.FINNISH
KitchenhamMadeyskiBudgen16.PolishSubjects
KitchenhamMadeyskiBudgen16.SubjectData
KitchenhamMadeyskiBudgen16.PolishData
KitchenhamMadeyskiBudgen16.DiffInDiffData
KitchenhamMadeyskiBudgen16.COCOMO
densityCurveOnHistogram
boxplotHV
boxplotAndDensityCurveOnHistogram
printXTable
cloudOfWords
reproduceForestPlotRandomEffects
reproduceMixedEffectsAnalysisWithEstimatedVarianceAndExperimentalDesignModerator
reproduceMixedEffectsAnalysisWithExperimentalDesignModerator
reproduceMixedEffectsForestPlotWithExperimentalDesignModerator
reproduceTableWithEffectSizesBasedOnMeanDifferences
reproduceTableWithPossibleModeratingFactors
reproduceTableWithSourceDataByCiolkowski
Ciolkowski09ESEM.MetaAnalysis.PBRvsCBRorAR
MadeyskiKitchenham.MetaAnalysis.PBRvsCBRorAR
Madeyski15EISEJ.StudProjects$STUD
data
setMadeyski15SQJ.NDC
Madeyski15EISEJ.OpenProjects
Madeyski15EISEJ.PropProjects
Madeyski15EISEJ.StudProjects
and functions (for
importing data, visualization and descriptive analyses):readExcelSheet
densityCurveOnHistogram
boxplotHV
boxplotAndDensityCurveOnHistogram
See the package homepage (https://madeyski.e-informatyka.pl/reproducible-research/) for documentation and examples.