All functions

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

A_VarghaDelaney()

Vargha & Delaney's A

BAC_plot()

Bland-Altman Change plot

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

checkDataIntegrity()

Conveniently checking data integrity

checkPkgs()

Check for presence of a package

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

Conceptual Independence Matrix

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

The distribution of Cohen's d

duoComparisonDiamondPlot() meansComparisonDiamondPlot()

meansComparisonDiamondPlot and duoComparisonDiamondPlot

confintdjmv()

Effect Size Confidence Interval: Cohens's d

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

confintrjmv()

Effect Size Confidence Interval: Pearson's r

confIntSD()

Confidence interval for standard deviation

convert.d.to.U3()

Convert Cohen's d to U3

convert

conversion functions

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.

exceptionalScore()

Find exceptional scores

exceptionalScores()

Find exceptional scores

exportToHTML()

Exporting tables to HTML

extractVarName()

Extract variable names

faConfInt()

Extract confidence bounds from psych's factor analysis object

factorLoadingDiamondCIplot()

Two-dimensional visualisation of factor analyses

factorLoadingHeatmap()

Two-dimensional visualisation of factor analyses

fa_failsafe()

Do factor-analysis, logging warnings and errors

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()

Use a dialog to load data from an SPSS file

ggBarChart()

Bar chart using ggplot

ggBoxplot()

Box plot using ggplot

ggEasyBar() ggEasyRidge()

Convenience functions for ggplots based on multiple variables

ggPie()

A ggplot pie chart

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

Sample distribution based plotting of proportions

ggqq()

Easy ggplot Q-Q plot

ggSave()

Save a ggplot with specific defaults

heading()

Print a heading

ifelseObj()

Conditional returning of an object

`%IN%`

Case insensitive version of %in%

insertFigureCaption() insertNumberedCaption() insertTableCaption()

Insert numbered caption

invertItem() invertItems()

invertItems

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

meansDiamondPlot()

Diamond plots

meansDiamondPlotjmv()

Diamond plot: means

meanSDtoDiamondPlot()

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

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

normalHist() print(<normalHist>)

normalHist

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

normalityAssessment and samplingDistribution

noZero()

Remove one or more zeroes before the decimal point

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

The distribution of Omega Squared

opts

Options for the ufs package

parallelSubscales() print(<parallelSubscales>)

Split a dataset into two parallel halves

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

pwr.omegasq() print(<pwr.omegasq>)

Power calculations for Omega Squared.

quietRemotesInstall() quietGitLabUpdate()

Quietly update a package from a remote repository

qVec() qVecSum()

Convenience function to quickly copy-paste a vector

rbind_dfs()

Simple alternative for rbind.fill or bind_rows

rbind_df_list()

Bind lots of dataframes together rowwise

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

simDataSet()

Simulate a dataset

spearmanBrown() spearmanBrown_reversed() spearmanBrown_requiredLength()

Spearman-Brown formula

strToFilename()

Convert a string to a safe filename

suspectParticipants()

Selects suspect participants from a carelessObject

testRetestAlpha() print(<testRetestAlpha>)

Test-Retest Alpha Coefficient

testRetestCES() print(<testRetestCES>)

Test-Retest Coefficient of Equivalence & Stability

testRetestReliability() print(<testRetestReliability>)

testRetestReliability

testRetestSimData

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

vecTxt() vecTxtQ() vecTxtB() vecTxtM()

Easily parse a vector into a character value

viridisPalette()

Convenience function to get 2-7 color viridis palettes

wrapVector()

Wrap all elements in a vector

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