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 (may not be active yet) |
Author: |
David Brown [aut,
cre],
Alex Reinhart
[aut] |
Maintainer: |
David Brown <dwb2 at andrew.cmu.edu> |
License: |
MIT + file LICENSE |
NeedsCompilation: |
no |
Materials: |
README |
CRAN checks: |
mda.biber results |
Documentation:
Downloads:
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