Man pages for NormData
Derivation of Regression-Based Normative Data
| a.summary.gen | Summary |
| Bootstrap.Stage.2.NormScore | Bootstraps a confidence interval for a percentile rank |
| Bootstrap.Stage.2.NormTable | Bootstraps confidence intervals for a normative table |
| Check.Assum | Check assumptions for a fitted Stage 1 model |
| CheckFit | Check the fit of the mean structure of a regression model |
| Coding | Check the coding of a variable |
| Densities | Plot densities |
| ExploreData | Explore data |
| Fluency | Verbal fluency data |
| Fract.Poly | Fit fractional polynomials |
| GCSE | GCSE exam score |
| GLT | Conduct the General Linear Test (GLT) procedure |
| ICC | Intra class correlation |
| Levels | Explore data |
| Personality | Data of the Openness scale of a personality test |
| plot.Bootstrap.Stage.2.NormScore | Plot the bootstrap distribution and the percentile bootstrap... |
| plot.CheckFit | Evaluate the fit of the mean structure of a fitted Stage 1... |
| plot.ExploreData | Plot means and CIs for test scores. |
| plotFittedPoly | Explore data |
| plot.ICC | Graphical depiction of the ICC. |
| Plot.Scatterplot.Matrix | Explore data |
| plot.Stage.1 | Check the model assumptions for a fitted Stage 1 model... |
| plot.Stage.2.NormScore | Plot the results for a 'Stage.2.NormScore' object. |
| plot.Tukey.HSD | Plot the results of Tukey's Honest Significance Difference... |
| Sandwich | Sandwich estimators for standard errors |
| Stage.1 | Stage 1 of the regression-based normative analysis |
| Stage.2.AutoScore | Make an automatic scoring sheet |
| Stage.2.NormScore | Convert a raw score to a percentile rank |
| Stage.2.NormTable | Derive a normative table |
| STAS | State-Trait Anger Scale (STAS) |
| Substitution | Substitution test data |
| TMAS | TMAS data |
| Tukey.HSD | Conducts Tukey's Honest Significance Difference test |
| VLT | Verbal Learning Test data |
| WriteNormTable | Write a normative table from R to a .txt/.csv/.xlsx file |
