# userfriendlyscience v0.6-1

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Contains a number of functions that serve two goals. First, to make R more accessible to people migrating from SPSS by adding a number of functions that behave roughly like their SPSS equivalents. Second, to make a number of slightly more advanced functions more user friendly to relatively novice users. The package also conveniently houses a number of additional functions that are intended to increase the quality of methodology and statistics in psychology, not by offering technical solutions, but by shifting perspectives, for example towards reasoning based on sampling distributions as opposed to on point estimates.

# userfriendlyscience (UFS)

Userfriendlyscience contains a number of functions that serve two goals. First, to make R more accessible to people migrating from SPSS by adding a number of functions that behave roughly like their SPSS equivalents. Second, to make a number of slightly more advanced functions more user friendly to relatively novice users. The package also conveniently houses a number of additional functions that are intended to increase the quality of methodology and statistics in psychology, not by offering technical solutions, but by shifting perspectives, for example towards reasoning based on sampling distributions as opposed to on point estimates.

The package imports functions from many other packages, which is in line with its function as a 'wrapper package': UFS aims to make many existing functions easier for users coming from SPSS, so sometimes a function is added when it saves the user just some data preparing.

The only publications where the package has been mentioned so far are available at:

Four more have been submitted for publication and are currently available as preprints at PsyArXiv:

• Peters, G.-J. Y. & Crutzen, R. (2017). Knowing exactly how effective an intervention, treatment, or manipulation is and ensuring that a study replicates: accuracy in parameter estimation as a partial solution to the replication crisis. http://dx.doi.org/

• Peters, G.-J. Y. & Gruijters, S. (2017). Why your experiments fail: sample sizes required for randomization to generate equivalent groups as a partial solution to the replication crisis. http://dx.doi.org/

• Crutzen, R., Peters, G.-J. Y., & Noijen, J. (2017). How to Select Relevant Social-Cognitive Determinants and Use them in the Development of Behaviour Change Interventions? Confidence Interval-Based Estimation of Relevance. http://dx.doi.org/

• Gruijters, S., & Peters, G.-J. Y. (2017). Introducing the Numbers Needed for Change (NNC): A practical measure of effect size for intervention research. http://dx.doi.org/

All are (and will be) Open Access. Please cite the manual and/or one of these publications when you use the package.

If you have any questions, you can reach me at gjalt-jorn@userfriendlyscience.com.

## Functions in userfriendlyscience

 Name Description asymmetricalScatterMatrix averageFishersZs CIBER areColors associationMatrix associationMatrix Helper Functions averagePearsonRs basicSPSStranslationFunctions RsqDist convert.d.to.nnc createSigma confIntOmegaSq confIntR detectRareWords determinantStructure biAxisDiamondPlot dCohensd determinantStructure Preprocessing diamondPlot escapeRegex Escapes any characters that would have special meaning in a reqular expression. examine extractVarName faConfInt associationsDiamondPlot curfnfinder descr exceptionalScore confIntV convert didacticPlot dlvPlot freq fullFact pwr.confIntR pwr.omegasq exceptionalScores is.nr isTrue meanDiff.multi ggBoxplot invertItems scaleInspection scaleStructure ggqq importLimeSurveyData nnc normalityAssessment ggBarChart iqrOutlier oneway paginatedAsymmetricalScatterMatrix powerHist ggConfidenceCurve ggDiamondLayer itemInspection meanDiff oddsratio omegaSqDist userfriendlysciencePrintMethods meanSDtoDiamondPlot processLimeSurveyDropouts processOpenSesameIAT testRetestCES processLSvarLabels rMatrix randomizationSuccess scatterMatrix factorLoadingDiamondCIplot formatCI ggNNC ggPie userfriendlysciencePanderMethods posthocTGH removeExceptionalValues rnwString prevalencePower regr regrInfluential showPearsonPower simDataSet sort.associationMatrix testRetestAlpha userfriendlyscience-package userfriendlyscienceBasics meansComparisonDiamondPlot meansDiamondPlot scaleDiagnosis scaleDiagnosisToPDF setCaptionNumbering setFigCapNumbering testRetestSimData therapyMonitor testRetestReliability scatterPlot No Results!