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| sasLM-package | 'SAS' Linear Model |
| af | Convert some columns of a data.frame to factors |
| aov1 | ANOVA with Type I SS |
| aov2 | ANOVA with Type II SS |
| aov3 | ANOVA with Type III SS |
| BEdata | An Example Data of Bioequivalence Study |
| bk | Beautify the output of knitr::kable |
| BY | Analysis BY variable |
| CIest | Confidence Interval Estimation |
| Coll | Collinearity Diagnostics |
| CONTR | F Test with a Set of Contrasts |
| Cor.test | Correlation test of multiple numeric columns |
| cSS | Sum of Square with a Given Contrast Set |
| CV | Coefficient of Variation in percentage |
| Diffogram | Plot Pairwise Differences |
| e1 | Get a Contrast Matrix for Type I SS |
| e2 | Get a Contrast Matrix for Type II SS |
| e3 | Get a Contrast Matrix for Type III SS |
| EMS | Expected Mean Square Formula |
| est | Estimate Linear Functions |
| ESTM | Estimate Linear Function |
| estmb | Estimability Check |
| ESTMIMATE | Estimate Linear Function |
| G2SWEEP | Generalized inverse matrix of type 2, g2 inverse |
| geoCV | Geometric Coefficient of Variation in percentage |
| geoMean | Geometric Mean without NA |
| GLM | General Linear Model similar to SAS PROC GLM |
| is.cor | Is it a corrleation matrix? |
| Kurtosis | Kurtosis |
| KurtosisSE | Standard Error of Kurtosis |
| LCL | Lower Confidence Limit |
| lfit | Linear Fit |
| lr | Linear Regression with g2 inverse |
| lr0 | Simple Linear Regressions with Each Independent Variable |
| LSM | Least Square Means |
| Max | Max without NA |
| Mean | Mean without NA |
| Median | Median without NA |
| Min | Min without NA |
| ModelMatrix | Model Matrix |
| N | Number of observations |
| pB | Plot Confidence and Prediction Bands for Simple Linear Regression |
| Pcor.test | Partial Correlation test of multiple columns |
| pD | Diagnostic Plot for Regression |
| PDIFF | Pairwise Difference |
| QuartileRange | Inter-Quartile Range |
| Range | Range |
| REG | Regression of Linear Least Square, similar to SAS PROC REG |
| regD | Regression of Conventional Way with Rich Diagnostics |
| sasLM | 'SAS' Linear Model |
| satt | Satterthwaite Approximation of Pooled Variance and Degree of Freedom |
| SD | Standard Deviation |
| SEM | Standard Error of the Sample Mean |
| Skewness | Skewness |
| SkewnessSE | Standard Error of Skewness |
| SLICE | F Test with Slice |
| SS | Sum of Square |
| T3MS | Type III Expected Mean Square Formula |
| T3test | Test Type III SS using error term other than MSE |
| trimmedMean | Trimmed Mean |
| tsum | Table Summary |
| tsum0 | Table Summary 0 independent(x) variable |
| tsum1 | Table Summary 1 independent(x) variable |
| tsum2 | Table Summary 2 independent(x) variables |
| tsum3 | Table Summary 3 independent(x) variables |
| UCL | Upper Confidence Limit |
| UNIV | Univariate Descriptive Statistics |