A B C D E F G H I K M N O P Q R S T U V W Z misc
| aipedjmv | Sample size for accuracy: d |
| aiperjmv | Sample size for accuracy: r |
| areColors | Check whether elements of a vector are valid colors |
| arr | Absolute Relative Risk and confidence interval |
| as.data.frame.descr | descr (or descriptives) |
| associationMatrix | associationMatrix |
| associationMatrixESDefaults | associationMatrix Helper Functions |
| associationMatrixStatDefaults | associationMatrix Helper Functions |
| associationsDiamondPlot | A diamondplot with confidence intervals for associations |
| 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 |
| bfi | 25 Personality items representing 5 factors |
| bfi-data | 25 Personality items representing 5 factors |
| biAxisDiamondPlot | Diamondplot with two Y axes |
| biDimColors | Create colours for a response scale for an item |
| 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 | Conceptual Independence Matrix |
| CIM_partial | Conceptual Independence Matrix |
| cohensdCI | The distribution of Cohen's _d_ |
| cohensDdistribution | The distribution of Cohen's _d_ |
| computeEffectSize_d | associationMatrix Helper Functions |
| computeEffectSize_etasq | associationMatrix Helper Functions |
| computeEffectSize_omegasq | associationMatrix Helper Functions |
| computeEffectSize_r | associationMatrix Helper Functions |
| computeEffectSize_v | associationMatrix Helper Functions |
| computeStatistic_chisq | associationMatrix Helper Functions |
| computeStatistic_f | associationMatrix Helper Functions |
| computeStatistic_r | associationMatrix Helper Functions |
| computeStatistic_t | associationMatrix Helper Functions |
| confIntD | The distribution of Cohen's _d_ |
| confintdjmv | Effect Size Confidence Interval: Cohens's d |
| 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 |
| confIntV | Cramer's V and its confidence interval |
| convert | conversion functions |
| convert.b.to.t | conversion functions |
| convert.cer.to.d | Helper functions for Numbers Needed for Change |
| convert.chisq.to.p | conversion functions |
| convert.chisq.to.V | conversion functions |
| convert.cohensf.to.omegasq | conversion functions |
| convert.cohensfsq.to.omegasq | conversion functions |
| convert.d.to.eer | Helper functions for Numbers Needed for Change |
| convert.d.to.logodds | conversion functions |
| convert.d.to.nnc | Helper functions for Numbers Needed for Change |
| convert.d.to.r | conversion functions |
| convert.d.to.t | conversion functions |
| convert.d.to.U3 | Convert Cohen's d to U3 |
| convert.d.to.variance | conversion functions |
| convert.eer.to.d | Helper functions for Numbers Needed for Change |
| convert.etasq.to.cohensf | conversion functions |
| convert.etasq.to.r | conversion functions |
| convert.f.to.d | conversion functions |
| convert.f.to.etasq | conversion functions |
| convert.f.to.omegasq | conversion functions |
| convert.f.to.p | conversion functions |
| convert.fisherz.to.r | conversion functions |
| convert.logodds.to.d | conversion functions |
| convert.logodds.to.r | conversion functions |
| convert.means.to.d | conversion functions |
| convert.ncf.to.omegasq | conversion functions |
| convert.omegasq.to.cohensf | conversion functions |
| convert.omegasq.to.cohensfsq | conversion functions |
| convert.omegasq.to.f | conversion functions |
| convert.or.to.d | conversion functions |
| convert.or.to.r | conversion functions |
| convert.percentage.to.se | conversion functions |
| convert.r.to.d | conversion functions |
| convert.r.to.fisherz | conversion functions |
| convert.r.to.p | conversion functions |
| convert.r.to.t | conversion functions |
| convert.t.to.d | conversion functions |
| convert.t.to.p | conversion functions |
| convert.t.to.r | conversion functions |
| convert.V.to.r | conversion functions |
| convertToNumeric | Conveniently convert vectors to numeric |
| cramersV | Cramer's V and its confidence interval |
| dataShape | normalityAssessment and samplingDistribution |
| dCohensd | The distribution of Cohen's _d_ |
| dd | The distribution of Cohen's _d_ |
| descr | descr (or descriptives) |
| descr.data.frame | descr (or descriptives) |
| descr.default | descr (or descriptives) |
| descriptives | descr (or descriptives) |
| diamondCoordinates | Basic ggplot2 diamond plot layer construction functions |
| 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 |
| domegaSq | The distribution of Omega Squared |
| duoComparisonDiamondPlot | meansComparisonDiamondPlot and duoComparisonDiamondPlot |
| escapeBS | Escapes any characters that would have special meaning in a reqular expression. |
| 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 |
| get | Options for the ufs package |
| getDat | Basic SPSS translation functions |
| getData | Basic SPSS translation functions |
| ggBarChart | Bar chart using ggplot |
| ggBoxplot | Box plot using ggplot |
| ggDiamondLayer | Basic ggplot2 diamond plot layer construction functions |
| ggEasyBar | Convenience functions for ggplots based on multiple variables |
| ggEasyPlots | Convenience functions for ggplots based on multiple variables |
| ggEasyRidge | Convenience functions for ggplots based on multiple variables |
| ggPie | A ggplot pie chart |
| ggProportionPlot | Sample distribution based plotting of proportions |
| ggqq | Easy ggplot Q-Q plot |
| ggSave | Save a ggplot with specific defaults |
| grid.draw.ggProportionPlot | Sample distribution based plotting of proportions |
| heading | Print a heading |
| ifelseObj | Conditional returning of an object |
| insertFigureCaption | Insert numbered caption |
| insertNumberedCaption | Insert numbered caption |
| insertTableCaption | Insert numbered caption |
| invertItem | invertItems |
| invertItems | invertItems |
| iqrOutlier | Identify outliers according to the IQR criterion |
| irpplot | Visualising individual response patterns |
| is.even | Checking whether numbers are odd or even |
| is.nr | 'NULL' and 'NA' 'proof' checking of whether something is a number |
| is.odd | Checking whether numbers are odd or even |
| isTrue | More flexible version of isTRUE |
| kblXtra | Wrapper for kableExtra for consistent 'ufs' table styling |
| knitAndSave | knitAndSave |
| knitFig | Easily knit a custom figure fragment |
| knit_print.CIM | Conceptual Independence Matrix |
| knit_print.scaleDiagnosis | scaleDiagnosis |
| knit_print.scaleStructure | scaleStructure |
| makeScales | Title |
| massConvertToNumeric | Converting many dataframe columns to numeric |
| meanConfInt | A confidence interval for the mean |
| meansComparisonDiamondPlot | meansComparisonDiamondPlot and duoComparisonDiamondPlot |
| 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 |
| normalHist | normalHist |
| normalityAssessment | normalityAssessment and samplingDistribution |
| noZero | Remove one or more zeroes before the decimal point |
| opts | Options for the ufs package |
| pander.associationMatrix | associationMatrix |
| pander.dataShape | normalityAssessment and samplingDistribution |
| pander.descr | descr (or descriptives) |
| pander.normalityAssessment | normalityAssessment and samplingDistribution |
| pCohensd | The distribution of Cohen's _d_ |
| pd | The distribution of Cohen's _d_ |
| pdExtreme | The distribution of Cohen's _d_ |
| pdInterval | The distribution of Cohen's _d_ |
| pdMild | The distribution of Cohen's _d_ |
| pomegaSq | The distribution of Omega Squared |
| print.associationMatrix | associationMatrix |
| print.confIntOmegaSq | Confidence intervals for Omega Squared |
| print.confIntV | Cramer's V and its confidence interval |
| print.CramersV | Cramer's V and its confidence interval |
| print.dataShape | normalityAssessment and samplingDistribution |
| print.descr | descr (or descriptives) |
| print.ggProportionPlot | Sample distribution based plotting of proportions |
| print.meanConfInt | A confidence interval for the mean |
| print.normalHist | normalHist |
| print.normalityAssessment | normalityAssessment and samplingDistribution |
| print.pwr.omegasq | Power calculations for Omega Squared. |
| print.regrInfluential | Detecting influential cases in regression analyses |
| print.scaleDiagnosis | scaleDiagnosis |
| print.scaleStructure | scaleStructure |
| print.scatterMatrix | scatterMatrix |
| print.ufsARR | Absolute Relative Risk and confidence interval |
| pwr.bootES | Estimate required sample size for accuracy in parameter estimation using bootES |
| pwr.cohensdCI | The distribution of Cohen's _d_ |
| pwr.confIntd | The distribution of Cohen's _d_ |
| 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 | Power calculations for Omega Squared. |
| qCohensd | The distribution of Cohen's _d_ |
| qd | The distribution of Cohen's _d_ |
| qomegaSq | The distribution of Omega Squared |
| quietGitLabUpdate | Quietly update a package from a remote repository |
| quietRemotesInstall | Quietly update a package from a remote repository |
| qVec | Convenience function to quickly copy-paste a vector |
| qVecSum | Convenience function to quickly copy-paste a vector |
| rawDataDiamondLayer | Basic ggplot2 diamond plot layer construction functions |
| rbind_dfs | Simple alternative for rbind.fill or bind_rows |
| rbind_df_list | Bind lots of dataframes together rowwise |
| rCohensd | The distribution of Cohen's _d_ |
| rd | The distribution of Cohen's _d_ |
| regrInfluential | Detecting influential cases in regression analyses |
| repeatStr | Repeat a string a number of times |
| report | Output report from results |
| report.default | Output report from results |
| repStr | Repeat a string a number of times |
| reset | Options for the ufs package |
| romegaSq | The distribution of Omega Squared |
| safeRequire | Load a package, install if not available |
| samplingDistribution | normalityAssessment and samplingDistribution |
| scaleDiagnosis | scaleDiagnosis |
| scaleDiagnosis_partial | scaleDiagnosis |
| scaleReliability | scaleStructure |
| scaleStructure | scaleStructure |
| scaleStructurePartial | scaleStructure |
| scaleStructure_partial | scaleStructure |
| scatterMatrix | scatterMatrix |
| set | Options for the ufs package |
| setCaptionNumberingKnitrHook | Set a knitr hook for caption numbering |
| setFigCapNumbering | Set a knitr hook for caption numbering |
| setTabCapNumbering | Set a knitr hook for caption numbering |
| sharedSubString | sharedSubString |
| simDataSet | Simulate a dataset |
| spearmanBrown | Spearman-Brown formula |
| spearmanBrown_requiredLength | Spearman-Brown formula |
| spearmanBrown_reversed | 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. |
| uniDimColors | Create colours for a response scale for an item |
| varsToDiamondPlotDf | Basic ggplot2 diamond plot layer construction functions |
| vecTxt | Easily parse a vector into a character value |
| vecTxtB | Easily parse a vector into a character value |
| vecTxtM | Easily parse a vector into a character value |
| vecTxtQ | 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 |
| %IN% | Case insensitive version of %in% |