Man pages for processR
Implementation of the 'PROCESS' Macro
| addArrows | Add covariates to arrows |
| addCatVars | Add dummy vars to data.frame |
| addCovarEquation | Add covariates to equation |
| addLabels | add name to labels |
| addLatentNodes | Add latent nodes information to nodes |
| addLine | Add line feed to string |
| addNodes | Add covariates to nodes |
| addPlus | Add '+' mark to string |
| addTripleInteraction | Add triple interaction |
| adjustNodes | Adjust y position of nodes |
| adjustPosNodes | Adjust position of nodes |
| adjustxpos | Adjust x position |
| adjustypos | Adjust y position |
| appendLabels | Append labels from vars, moderator and covar |
| bda.mediation.test | The Sobel mediation test |
| caskets | CASKETS dataset |
| catMediation | Make Mediation Equation with one categorical variable |
| centerPrint | Print a string in center |
| changeLabelName | Change Label Names |
| checkEquationVars | Check dependent variables in equations |
| checkEqVars | Check dependent variables in a equation |
| compareMC | Compare effects of mean-centering and standardization of... |
| compareMCTable | Make table comparing effects of mean-centering and... |
| compareVIF | Compare correlation, tolerance, vif of mean-centered and... |
| compareVIFTable | Make table comparing correlation, tolerance, vif of... |
| conceptDiagram | Make conceptDiagram |
| conceptDiagram2 | Make concept Diagram |
| conditionalEffectPlot | Make conditional effect plot |
| condPlot | Draw conditional effect plot |
| condPlot2 | Draw conditional plot for moderated moderation |
| condPlotCat | Make conditional effect plot with data including a... |
| condPlotCat2 | Draw direct and indirect effect plot |
| convertPvalue | convert vector of p values to string |
| corPlot | Draw correlation plot |
| corTable | Make a table with correlation |
| corTable2 | Make a table with correlation |
| countM | Count the group names start with "M" |
| covar2df | Make data.frame with covariates |
| deleteSingleNumber | remove coefficient number of equation |
| densityPlot | Draw Smoothed Kernel density plot |
| disaster | Disaster dataset |
| discriminantValidityTable | make discriminant Validity Table |
| discriminantValidityTable2 | make discriminant Validity Table in flextable format |
| divideEquation | divide equation |
| drawArrows | Draw arrows |
| drawCatModel | Draw statistical diagram including categorical X |
| drawConcept | Draw Concept Diagram |
| drawCovar | Draw covariate |
| drawModel | Draw statistical diagram with an object of class lavaan or a... |
| drawStatDiagram | draw StatDiagram |
| drawtext | Draw node |
| education | Data Set for education and income |
| eq2df | Convert equation to data.frame |
| eq2fit | Make a list of objects of class lm |
| eq2var | make data.frame with equation |
| equations2var | make data.frame with equation |
| est2Arrows | Make arrows from estimatesTable |
| est2Nodes | Make nodes from estimatesTable |
| estimatesTable | convert parameterEstimates to data.frame |
| estimatesTable2 | convert parameterEstimates to flextable |
| estress | ESTRESS: Economic stress dataset |
| extractIMM | extract index of moderated mediation from string |
| extractLatentVar | Extract Latent Variables Data |
| extractLatentVarName | Extract Latent Variables Names |
| extractModerator | Extract name of moderator from string |
| extractNumber | extract number from string |
| extractRange | Extract range from a data.frame |
| extractX | Extract group by string |
| findName | convert name with list |
| findNames | convert a vector of names with list |
| fit2alpha | Make a Cronbach alpha table |
| fit2df2 | Make a data.frame for conceptDiagram |
| fit2table | Make estimatesTable with a list of lm object |
| fit2vif | Summarizing correlation, tolerance and variance inflation... |
| fun2eq | Make equation from function |
| get2ndIndirect | get2ndIndirect effect |
| getArrows | Get arrows data with no |
| getAspectRatio | Get aspect information of a ggplot |
| getBootData | Get bootstrapped values |
| getCatSlopeDf | Make data summarizing regression slopes and intercepts |
| getCoef | Get coef summary table |
| getEq2p | get slope and intercept with 2 points |
| getHelmert | Get Helmert Coding of column j of group with length of unique... |
| getInfo | Get information of a model |
| getMeanSd | get mean and sd |
| getNodes | Get nodes data with model no |
| getRatioTable | Get coding table for dummy variables |
| getRepValues | Get representative values |
| getYhat | Get predicted value from object of class "lm" |
| getYhat1 | Get Yhat value from simple mediation |
| ggCor | Draw a heatmap of correlation test |
| glbwarm | Global Warming dataset |
| interactStr | make interaction equation |
| jnPlot | Draw johnson_neyman plot |
| label2name | Change label into name |
| labels2table | Make table with labels |
| makeAnovaDf | Make data summarizing ANOVA results |
| makeCatEquation | Make equation for sem and lm for categorical variables |
| makeCatEquation2 | Make equation for sem and lm for multiple X or multiple Y |
| makeCatEquation3 | Make equation for sem and lm for multiple X or multiple Y |
| makeCatModel | Make simple regression model with one categorical variable |
| makeCEDf | Make data summarizing conditional effects |
| makeCoefLabel | Change regression coefficient name |
| makeEquation | Make mediation equations 3 |
| makeEquation1 | Make mediation equations 1 |
| makeEquation2 | Make mediation equations 2 |
| makeEquation3 | Make mediation equations 3 |
| makeIndirectEquation | Make indirect equation |
| makeIndirectEquationCat | Make indirect equation for categorical variables |
| makeIndirectEquationCat2 | Make indirect equation for categorical variables |
| makeLabel | Make Labels |
| makePPTx | make powerpoint presentation |
| matrix2df | Make data.frame with matrix |
| matrix2no | Calculate the dimension of matrix |
| matrixPlot | Draw matrix plot |
| meanCentering | Perform mean centering |
| meanSummary | Make mean summary table |
| meanSummaryTable | Make mean summary table |
| mediationBK | Perform mediation analysis by Baron and Kenny Method |
| medSummary | Summarize the mediation effects |
| medSummaryTable | Make a table summarizing the mediation effects |
| medSummaryTable1 | Make a table summarizing the mediation effects |
| medSummaryTable2 | Make a table summarizing the mediation effects |
| modelFitGuideTable | Model fit guide table |
| modelFitGuideTable2 | Model fit guide table |
| modelFitTable | Extract model fit measures to data.frame |
| modelFitTable2 | Extract model fit measures to flextable |
| modelsSummary | Make Summary for Model Coefficients |
| modelsSummary2 | Make Summary for Model Coefficients |
| modelsSummary2Table | Make Summary Table 2 for Model Coefficients |
| modelsSummaryTable | Make Summary Table for Model Coefficients |
| moderator2df | Make data.frame from a list of moderator |
| moderator2pos | get position from moderator |
| modmedEquation | Make moderated mediation equation |
| modmedSummary | Summarize the moderated mediation |
| modmedSummary2Table | make table summarizing moderated mediation effect |
| modmedSummaryTable | Make a table summarizing the moderated mediation |
| modSummary | Make moderation effect summary |
| modSummary2 | Make table summarizing moderation effect |
| modSummary2Table | Make flextable summarizing moderation effect |
| modSummary3 | Summary of moderation effect |
| modSummary3Table | Make flextable summarizing moderation effect |
| modSummaryTable | Make flextable summarizing moderation effect |
| moreModels | more models data |
| multipleMediation | Make Mediation Equation with multiple X or multiple Y |
| myarrow | Draw arrow |
| myarrow2 | Draw arrow with adjustment of a position |
| mycat | append something to file |
| mycor | Perform correlation and linear regression for a data.frame |
| myflatten | flatten string |
| myformat | Format a numeric vector |
| mylm | Correlation and Fitting linear model function for function... |
| nodes | Node Data Set for drawing statistical diagram of process... |
| numberSubscript | Make number subscript |
| p2asterisk | Convert p values to asterisk |
| p2chr | Convert p values to character |
| parallelMatrix | Make bmatrix for parallel multiple mediator model |
| parrows | Arrow Data Set for drawing statistical diagram of process... |
| pastecolon | paste two character with colon |
| pformat | Make p value format |
| plotCoef | Make Slopes Plot |
| plot.mediationBK | S3 method for class mediationBK |
| pmacro | Data Set for process macro model |
| pmacroModel | draw conceptual diagram of process macro model |
| pmi | PMI: Presumed Media Influence dataset |
| print.compareVIF | S3 method of class compareVIF |
| print.meanSummary | S3 method of class meanSummary |
| print.mediationBK | S3 method for class mediationBK |
| print.medSummary | S3 method print for an object of class medSummary |
| print.medSummary2 | S3 method print for an object of class medSummary2 |
| print.modelSummary | S3 method print for object modelSummary |
| print.modelSummary2 | S3 method print for object modelSummary2 |
| print.modmedSummary | S3 method print for an object of class modmedSummary |
| print.modmedSummary2 | S3 method print for an object of class modmedSummary2 |
| print.modSummary | S3 method of class modSummary |
| productEq | Make products of equations |
| protest | Protest dataset |
| qqPlot | Draw quantile-quantile plot |
| r2diff | Calculate difference of R2 and adjusted R2 |
| r2pptx | Make powerpoint presentation from R file |
| regEquation | Make regression equation |
| reliabilityTable | make reliability Table |
| reliabilityTable2 | make reliability Table in flextable format |
| removeParentheses | Remove parentheses |
| rightPrint | Print a string in right alignment |
| seekGroup | Find group with variable name |
| seekGroup1 | Find group with variable name |
| seekGroup2 | Find group with variable name |
| seekNameVars | select names of variables from list var |
| seekVar | Seek var form covariates |
| separateEq | Separate equation |
| setPositionNodes | Set Position of nodes |
| showModels | Run process macro shiny app |
| standardize | Standardize variable |
| standardizeDf | standardize data |
| statisticalDiagram | Draw statistical diagram |
| str2vector | Make character vector from string |
| str_detect2 | Extension of str_detect to list |
| strGrouping | Make Grouping equation |
| str_setdiff | Remove matched pattern from string |
| sumEquation | summation of equations |
| summary.mediationBK | S3 method for class mediationBK |
| teachers | Teacher Efficacy Data |
| teams | Teams data set |
| theme_clean2 | Clean theme for ggCor |
| treatInteraction | unfold interaction |
| treatModerator | Treat moderator name with mean value |
| tripleEquation | Make equation with triple interaction |
| tripleInteraction | Make triple interaction equation |
| unfold | Unfold equations |
| vars2df | Make data.frame from a list of vars |
| vif | Variance Inflation Factors Calculates variance-inflation and... |
| ztable.compareMC | S3 method for class compareMC |
| ztable.modelSummary | S3 method for class 'modelSummary' |
