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| as.na | Replace User-Specified Values With Missing Values |
| center | Centering at the Grand Mean or Centering Within Cluster |
| chr.gsub | Multiple Pattern Matching And Replacements |
| chr.omit | Omit Strings |
| chr.trim | Trim Whitespace from String |
| ci.mean | Confidence Interval for the Arithmetic Mean |
| ci.mean.diff | Confidence Interval for the Difference in Arithmetic Means |
| ci.mean.diff.default | Confidence Interval for the Difference in Arithmetic Means |
| ci.mean.diff.formula | Confidence Interval for the Difference in Arithmetic Means |
| ci.median | Confidence Interval for the Median |
| ci.prop | Confidence Interval for Proportions |
| ci.prop.diff | Confidence Interval for the Difference in Proportions |
| ci.prop.diff.default | Confidence Interval for the Difference in Proportions |
| ci.prop.diff.formula | Confidence Interval for the Difference in Proportions |
| ci.sd | Confidence Interval for the Standard Deviation |
| ci.var | Confidence Interval for the Variance |
| cluster.scores | Cluster Scores |
| cohens.d | Cohen's d |
| cohens.d.default | Cohen's d |
| cohens.d.formula | Cohen's d |
| collin.diag | Collinearity Diagnostics |
| cor.cont | Pearson's Contingency Coefficient |
| cor.cramer | Cramer's V |
| cor.matrix | Correlation Matrix |
| cor.phi | Phi Coefficient |
| cor.poly | Polychoric Correlation Matrix |
| crosstab | Cross Tabulation |
| descript | Descriptive Statistics |
| df.duplicated | Extract Duplicated or Unique Rows |
| df.merge | Merge Multiple Data Frames |
| df.rbind | Combine Data Frames by Rows, Filling in Missing Columns |
| df.rename | Rename Columns in a Matrix or Variables in a Data Frame |
| df.sort | Data Frame Sorting |
| df.unique | Extract Duplicated or Unique Rows |
| dummy.c | Dummy Coding |
| eta.sq | Eta Squared |
| freq | Frequency Table |
| indirect | Confidence Intervals for the Indirect Effect |
| item.alpha | Coefficient Alpha and Item Statistics |
| item.omega | Coefficient Omega, Hierarchical Omega, and Categorical Omega |
| item.reverse | Reverse Code Scale Item |
| item.scores | Compute Scale Scores |
| kurtosis | Excess Kurtosis |
| multilevel.cor | Within-Group and Between-Group Correlation Matrix |
| multilevel.descript | Multilevel Descriptive Statistics |
| multilevel.icc | Intraclass Correlation Coefficient, ICC(1) and ICC(2) |
| multilevel.indirect | Confidence Interval for the Indirect Effect in a 1-1-1 Multilevel Mediation Model |
| na.as | Replace Missing Values With User-Specified Values |
| na.auxiliary | Auxiliary variables analysis |
| na.coverage | Variance-Covariance Coverage |
| na.descript | Descriptive Statistics for Missing Data |
| na.indicator | Missing Data Indicator Matrix |
| na.pattern | Missing Data Pattern |
| na.prop | Proportion of Missing Data for Each Case |
| na.test | Little's Missing Completely at Random (MCAR) Test |
| print.misty.object | Print misty.object object |
| read.mplus | Read Mplus Data File and Variable Names |
| read.sav | Read SPSS File |
| read.xlsx | Read Excel File |
| rec | Recode Variable |
| run.mplus | Run Mplus Models |
| rwg.lindell | Lindell, Brandt and Whitney (1999) r*wg(j) Within-Group Agreement Index for Multi-Item Scales |
| size.cor | Sample Size Determination for Testing Pearson's Correlation Coefficient |
| size.mean | Sample Size Determination for Testing Arithmetic Means |
| size.prop | Sample Size Determination for Testing Proportions |
| skewness | Skewness |
| std.coef | Standardized Coefficients |
| test.levene | Levene's Test for Homogeneity of Variance |
| test.t | t-Test |
| test.t.default | t-Test |
| test.t.formula | t-Test |
| test.welch | Welch's Test |
| test.z | z-Test |
| test.z.default | z-Test |
| test.z.formula | z-Test |
| write.mplus | Write Mplus Data File |
| write.sav | Write SPSS File |