All functions

A_VarghaDelaney()

Vargha & Delaney's A

CIM() CIM_partial() knit_print(<CIM>)

Conceptual Independence Matrix

`%IN%`

Case insensitive version of %in%

aipedjmv()

Sample size for accuracy: d

aiperjmv()

Sample size for accuracy: r

areColors()

Check whether elements of a vector are valid colors

arr() print(<ufsARR>)

Absolute Relative Risk and confidence interval

associationMatrix() print(<associationMatrix>) pander(<associationMatrix>)

associationMatrix

computeStatistic_t() computeStatistic_r() computeStatistic_f() computeStatistic_chisq() computeEffectSize_d() computeEffectSize_r() computeEffectSize_etasq() computeEffectSize_omegasq() computeEffectSize_v()

associationMatrix Helper Functions

associationsDiamondPlot() associationsToDiamondPlotDf()

A diamondplot with confidence intervals for associations

attenuate.d()

Attenuate a Cohen's d estimate for unreliability in the continuous variable

attenuate.r()

Attenuate a Pearson's r estimate for unreliability in the measurements

diamondCoordinates() ggDiamondLayer() rawDataDiamondLayer() varsToDiamondPlotDf()

Basic ggplot2 diamond plot layer construction functions

bfi

25 Personality items representing 5 factors

biAxisDiamondPlot()

Diamondplot with two Y axes

carelessObject()

Compute diagnostics for careless responding

carelessReport()

A report to help diagnosing careless responders

cat0()

Concatenate to screen without spaces

checkPkgs()

Check for presence of a package

cohensdCI() dCohensd() pCohensd() qCohensd() rCohensd() pdInterval() pdExtreme() pdMild() pwr.cohensdCI()

The distribution of Cohen's d

duoComparisonDiamondPlot() meansComparisonDiamondPlot()

meansComparisonDiamondPlot and duoComparisonDiamondPlot

confIntOmegaSq() print(<confIntOmegaSq>)

Confidence intervals for Omega Squared

confIntProp()

Confidence intervals for proportions, vectorized over all arguments

confIntR()

A function to compute a correlation's confidence interval

confIntSD()

Confidence interval for standard deviation

confintdjmv()

Effect Size Confidence Interval: Cohens's d

confintrjmv()

Effect Size Confidence Interval: Pearson's r

convert

conversion functions

convert.d.to.U3()

Convert Cohen's d to U3

convertToNumeric()

Conveniently convert vectors to numeric

cramersV() print(<CramersV>) confIntV() print(<confIntV>)

Cramer's V and its confidence interval

descr() print(<descr>) pander(<descr>) as.data.frame(<descr>)

descr (or descriptives)

diamondPlot()

Basic diamond plot construction function

disattenuate.d()

Disattenuate a Cohen's d estimate for unreliability in the continuous variable

disattenuate.r()

Disattentuate a Pearson's r estimate for unreliability

escapeRegex()

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

exportToHTML()

Exporting tables to HTML

extractVarName()

Extract variable names

faConfInt()

Extract confidence bounds from psych's factor analysis object

fa_failsafe()

Do factor-analysis, logging warnings and errors

factorLoadingDiamondCIplot()

Two-dimensional visualisation of factor analyses

findShortestInterval()

Find the shortest interval

formatCI()

Pretty formatting of confidence intervals

formatPvalue()

Pretty formatting of p values

formatR()

Pretty formatting of correlation coefficients

getData() getDat()

Basic SPSS translation functions

ggBarChart()

Bar chart using ggplot

ggBoxplot()

Box plot using ggplot

ggEasyBar() ggEasyRidge()

Convenience functions for ggplots based on multiple variables

ggProportionPlot() print(<ggProportionPlot>) grid.draw(<ggProportionPlot>)

Sample distribution based plotting of proportions

ggSave()

Save a ggplot with specific defaults

ggqq()

Easy ggplot Q-Q plot

ifelseObj()

Conditional returning of an object

insertFigureCaption() insertNumberedCaption() insertTableCaption()

Insert numbered caption

iqrOutlier()

Identify outliers according to the IQR criterion

irpplot()

Visualising individual response patterns

is.nr()

NULL and NA 'proof' checking of whether something is a number

is.odd() is.even()

Checking whether numbers are odd or even

isTrue()

More flexible version of isTRUE

biDimColors() uniDimColors()

Create colours for a response scale for an item

kblXtra()

Wrapper for kableExtra for consistent ufs table styling

knitAndSave()

knitAndSave

knitFig()

Easily knit a custom figure fragment

makeScales()

Title

massConvertToNumeric()

Converting many dataframe columns to numeric

meanConfInt() print(<meanConfInt>)

A confidence interval for the mean

meanSDtoDiamondPlot()

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

meansDiamondPlot()

Diamond plots

meansDiamondPlotjmv()

Diamond plot: means

multiResponse()

Generate a table for multiple response questions

multiResponsejmv()

Multi Response

multiVarFreq()

Generate a table collapsing frequencies of multiple variables

convert.cer.to.d() convert.d.to.eer() convert.d.to.nnc() convert.eer.to.d()

Helper functions for Numbers Needed for Change

noZero()

Remove one or more zeroes before the decimal point

normalHist() print(<normalHist>)

normalHist

dataShape() print(<dataShape>) pander(<dataShape>) normalityAssessment() print(<normalityAssessment>) pander(<normalityAssessment>) samplingDistribution()

normalityAssessment and samplingDistribution

pomegaSq() qomegaSq() romegaSq() domegaSq()

The distribution of Omega Squared

opts

Options for the ufs package

pwr.bootES()

Estimate required sample size for accuracy in parameter estimation using bootES

pwr.confIntProp()

Estimate required sample size for accuracy in parameter estimation of a proportion

pwr.confIntR()

Determine required sample size for a given confidence interval width for Pearson's r

qVec() qVecSum()

Convenience function to quickly copy-paste a vector

regrInfluential() print(<regrInfluential>)

Detecting influential cases in regression analyses

repeatStr()

Repeat a string a number of times

report()

Output report from results

safeRequire()

Load a package, install if not available

scaleDiagnosis() print(<scaleDiagnosis>) scaleDiagnosis_partial() knit_print(<scaleDiagnosis>)

scaleDiagnosis

scaleStructure() print(<scaleStructure>) scaleStructure_partial() knit_print(<scaleStructure>)

scaleStructure

scatterMatrix() print(<scatterMatrix>)

scatterMatrix

setCaptionNumberingKnitrHook() setFigCapNumbering() setTabCapNumbering()

Set a knitr hook for caption numbering

sharedSubString()

sharedSubString

spearmanBrown() spearmanBrown_reversed() spearmanBrown_requiredLength()

Spearman-Brown formula

strToFilename()

Convert a string to a safe filename

suspectParticipants()

Selects suspect participants from a carelessObject

testRetestSimData

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

vecTxt() vecTxtQ()

Easily parse a vector into a character value

zotero_construct_export_call()

Construct the URL for a Zotero export call

zotero_download_and_export_items()

Download and save all items in a public Zotero group

zotero_get_all_items()

Get all items in a public Zotero group

zotero_nr_of_items()

Get number of items in a public Zotero group