mda.biber: Functions for Multi-Dimensional Analysis
Multi-Dimensional Analysis (MDA) is an adaptation of factor analysis developed by Douglas Biber (1992) <doi:10.1007/BF00136979>. Its most common use is to describe language as it varies by genre, register, and use. This package contains functions for carrying out the calculations needed to describe and plot MDA results: dimension scores, dimension means, and factor loadings.
| Version: | 1.0.1 |
| Depends: | R (≥ 2.10) |
| Imports: | dplyr,ggplot2,ggpubr,ggrepel,nFactors, stats,tidyr,viridis |
| Suggests: | rmarkdown,knitr,corrplot,kableExtra,tidyverse,testthat (≥ 3.0.0) |
| Published: | 2025-10-07 |
| DOI: | 10.32614/CRAN.package.mda.biber |
| Author: | David Brown [aut, cre], Alex Reinhart [aut] |
| Maintainer: | David Brown <dwb2 at andrew.cmu.edu> |
| License: | MIT + fileLICENSE |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | mda.biber results |
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