# userfriendlyscience v0.7.0

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## Quantitative Analysis Made Accessible

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 (also see <http://rosettastats.com>). 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.

## Readme

# 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 (also see http://rosettastats.com). 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:

Peters, G.-J. Y. (2017). Diamond Plots: a tutorial to introduce a visualisation tool that facilitates interpretation and comparison of multiple sample estimates while respecting their inaccuracy.

*PsyArXiv*, https://doi.org/10.17605/OSF.IO/9W8YVPeters, G.-J. Y. (2014). The alpha and the omega of scale reliability and validity: why and how to abandon Cronbach’s alpha and the route towards more comprehensive assessment of scale quality.

*The European Health Psychologist*, 16, 56–69.Crutzen, R. (2014). Time is a jailer : what do alpha and its alternatives tell us about reliability?

*The European Health Psychologist*, 1(2), 70–74.Crutzen, R., & Peters, G.-J. Y. (2015). Scale quality: alpha is an inadequate estimate and factor-analytic evidence is needed first of all.

*Health Psychology Review*. http://dx.doi.org/10.1080/17437199.2015.1124240

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://osf.io/cjsk2/

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://osf.io/38vfn/

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://osf.io/5gnmz/

Gruijters, S., & Peters, G.-J. Y. (2017). Introducing the Numbers Needed for Change (NNC): A practical measure of effect size for intervention research. http://osf.io/2bau7/

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 | |

averagePearsonRs | averagePearsonRs | |

associationMatrix Helper Functions | associationMatrix Helper Functions | |

associationMatrix | associationMatrix | |

Singh | Verbal and physical aggression scores from Singh et al. (2007) | |

areColors | Check whether elements of a vector are valid colors | |

RsqDist | The distribution of R squared (as obtained in a regression analysis) | |

associationsDiamondPlot | A diamondplot with confidence intervals for associations | |

CIBER | Confidence Interval-Based Estimation of Relevance (CIBER) | |

biAxisDiamondPlot | Diamondplot with two Y axes | |

asymmetricalScatterMatrix | asymmetricalScatterMatrix | |

confIntOmegaSq | Confidence intervals for Omega Squared | |

averageFishersZs | averageFishersZs | |

confIntProp | Confidence intervals for proportions, vectorized over all arguments | |

dCohensd | The distribution of Cohen's d | |

checkDataIntegrity | Conveniently checking data integrity | |

convert | conversion functions | |

basicSPSStranslationFunctions | Basic SPSS translation functions | |

createSigma | createSigma: convenience function for mvrnorm | |

dlvPlot | dlvPlot | |

convert.d.to.nnc | Helper functions for Numbers Needed for Change | |

diamondPlot | Basic diamond plot construction function | |

confIntR | A function to compute a correlation's confidence interval | |

determinantStructure | Determinant Structure specification | |

confIntV | crossTab, confIntV and cramersV | |

determinantStructure Preprocessing | Functions to preprocess determinant structures | |

examine | Examine one or more variables | |

escapeRegex | Escapes any characters that would have special meaning in a reqular expression. | |

exceptionalScore | exceptionalScore | |

factorLoadingDiamondCIplot | Two-dimensional visualisation of factor analyses | |

genlog | Generalized Logistic Analysis | |

fanova | Flexible anova | |

ggBarChart | Bar chart using ggplot | |

curfnfinder | Function to find the name of the calling function | |

didacticPlot | didacticPlot | |

exceptionalScores | exceptionalScores | |

faConfInt | Extract confidence bounds from psych's factor analysis object | |

extractVarName | Extract variable names | |

genlogFunction | Generalized Logistic Function | |

facComAnalysis | Wrapper for psych's factor analysis and principal components analysis functions | |

itemInspection | itemInspection | |

freq | Frequency tables | |

knitFig | Easily knit a custom figure fragment | |

fullFact | fullFact | |

ggConfidenceCurve | Confidence Curves | |

descr | descr (or descriptives) | |

detectRareWords | Looking up word frequencies | |

ggDiamondLayer | Basic ggplot2 diamond plot layer construction functions | |

findShortestInterval | Find the shortest interval | |

is.nr | is.nr | |

isTrue | isTrue | |

formatCI | Pretty formatting of confidence intervals | |

ggNNC | Visualising Numbers Needed for Change | |

ggEasyPlots | Convenience functions for ggplots based on multiple variables | |

ggqq | Easy ggplot Q-Q plot | |

ggPie | A ggplot pie chart | |

logRegr | Userfriendly wrapper to do logistic regression in R | |

meanDiff | meanDiff | |

ggProportionPlot | Sample distribution based plotting of proportions | |

multiResponse | Generate a table for multiple response questions | |

nnc | Numbers Needed for Change | |

multiVarFreq | Generate a table collapsing frequencies of multiple variables | |

userfriendlysciencePanderMethods | userfriendlyscience methods to pander objects | |

normalityAssessment | normalityAssessment and samplingDistribution | |

importLimeSurveyData | importLimeSurveyData | |

meansComparisonDiamondPlot | meansComparisonDiamondPlot and duoComparisonDiamondPlot | |

prevalencePower | Power analysis for establishing a prevalence | |

userfriendlysciencePrintMethods | userfriendlyscience print methods | |

meansDiamondPlot | Diamond plots | |

processLSvarLabels | A function to conveniently process LimeSurvey labels | |

processLimeSurveyDropouts | processLimeSurveyDropouts | |

posthocTGH | posthocTGH | |

oddsratio | oddsratio | |

omegaSqDist | The distribution of Omega Squared | |

powerHist | powerHist | |

processOpenSesameIAT | processOpenSesameIAT | |

pwr.omegasq | Power calculations for Omega Squared. | |

pwr.confIntR | Determine required sample size for a given confidence interval width for Pearson's r | |

rMatrix | rMatrix | |

ggBoxplot | Box plot using ggplot | |

scatterMatrix | scatterMatrix | |

invertItems | invertItems | |

scatterPlot | Easy ggplot2 scatter plots | |

iqrOutlier | Identify outliers according to the IQR criterion | |

simDataSet | simDataSet | |

sort.associationMatrix | sort.associationMatrix | |

meanDiff.multi | meanDiff.multi | |

meanSDtoDiamondPlot | A diamond plot based on means, standard deviations, and sample sizes | |

scaleInspection | scaleInspection and a number of useful helper functions | |

oneway | oneway | |

scaleStructure | scaleStructure | |

paginatedAsymmetricalScatterMatrix | paginatedAsymmetricalScatterMatrix | |

randomizationSuccess | Computations for successful randomization | |

testRetestAlpha | testRetestAlpha | |

regr | regr: a simple regression analysis wrapper | |

testRetestCES | testRetestCES | |

piecewiseRegr | Piecewise regression analysis | |

scaleDiagnosisToPDF | scaleDiagnosisToPDF | |

regrInfluential | Detecting influential cases in regression analyses | |

therapyMonitor | therapyMonitor & therapyMonitor.multi | |

reliability | Reliability function similar to the SPSS RELIABILITY command | |

userfriendlyscience-package | Userfriendlyscience (UFS) | |

testRetestSimData | testRetestSimData is a simulated dataframe used to demonstrate the testRetestAlpha coefficient function. | |

setCaptionNumbering | Convenience function for numbered captions in knitr (and so, RMarkdown) | |

removeExceptionalValues | removeExceptionalValues | |

setFigCapNumbering | Automatic caption numbering knitr hooks for figures and tables | |

rnwString | rnwString functions | |

testRetestReliability | testRetestReliability | |

sharedSubString | sharedSubString | |

showPearsonPower | Visualisation of the power of a Pearson correlation test | |

scaleDiagnosis | scaleDiagnosis | |

userfriendlyscienceBasics | userfriendlyscience basics | |

validComputations | Only compute means or sums for cases with enough nonmissings | |

No Results! |

## Last month downloads

## Details

Type | Package |

Date | 2017-11-17 |

License | GPL (>= 3) |

URL | http://userfriendlyscience.com |

BugReports | https://github.com/matherion/userfriendlyscience/issues |

NeedsCompilation | no |

Packaged | 2017-11-17 16:18:20 UTC; micro |

Repository | CRAN |

Date/Publication | 2017-11-17 16:56:33 UTC |

imports | BiasedUrn , car , data.tree , DiagrammeR , digest , diptest , fBasics , GGally , ggplot2 , ggrepel , ggridges , GPArotation , gridExtra , gtable , knitr , lavaan , lme4 , MASS , MBESS , minpack.lm , pander , plyr , psych , pwr , RColorBrewer , rio , scales , SCRT , SuppDists , viridis , XML , xtable |

Contributors | Verboon Peter, Green James |

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