All functions

areColors()

Check whether elements of a vector are valid colors

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

biAxisDiamondPlot()

Diamondplot with two Y axes

cat0()

Concatenate to screen without spaces

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

convert.d.to.nnc()

Helper functions for Numbers Needed for Change

convert

conversion functions

convertToNumeric()

Conveniently convert vectors to numeric

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

Cramer's V and its confidence interval

diamondPlot()

Basic diamond plot construction function

disattenuate.d()

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

disattenuate.r()

Disattentuate a Pearson's r estimate for unreliability

extractVarName()

Extract variable names

faConfInt()

Extract confidence bounds from psych's factor analysis object

factorLoadingDiamondCIplot()

Two-dimensional visualisation of factor analyses

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

ggEasyBar() ggEasyRidge()

Convenience functions for ggplots based on multiple variables

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

Sample distribution based plotting of proportions

ifelseObj()

Conditional returning of an object

`%IN%`

Case insensitive version of %in%

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

makeScales()

Title

massConvertToNumeric()

Converting many dataframe columns to numeric

meanConfInt() print(<meanConfInt>)

A confidence interval for the mean

meansDiamondPlot()

Diamond plots

meanSDtoDiamondPlot()

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

multiResponse()

Generate a table for multiple response questions

multiVarFreq()

Generate a table collapsing frequencies of multiple variables

noZero()

Remove one or more zeroes before the decimal point

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

The distribution of Omega Squared

repeatStr()

Repeat a string a number of times

safeRequire()

Load a package, install if not available

sharedSubString()

sharedSubString

vecTxt() vecTxtQ()

Easily parse a vector into a character value