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Easy way to plot regular/weighted/conditional distributions by using formulas. The core of the package concerns distribution plots which are automatic: the many options are tailored to the data at hand to offer the nicest and most meaningful graphs possible – with no/minimum user input. Further provide functions to plot conditional trends and box plots. See <https://lrberge.github.io/fplot/> for more information.
| Version: | 1.1.0 |
| Depends: | R (≥ 3.5.0), data.table |
| Imports: | stats, graphics, utils, Formula, Rcpp, grDevices, dreamerr (≥ 1.1.0) |
| LinkingTo: | Rcpp |
| Suggests: | knitr, rmarkdown, fixest, pdftools |
| Published: | 2023-08-24 |
| DOI: | 10.32614/CRAN.package.fplot |
| Author: | Laurent Berge [aut, cre] |
| Maintainer: | Laurent Berge <laurent.berge at u-bordeaux.fr> |
| License: | GPL-3 |
| NeedsCompilation: | yes |
| Materials: | README NEWS |
| CRAN checks: | fplot results |
| Reference manual: | fplot.pdf |
| Vignettes: |
Exporting graphs |
| Package source: | fplot_1.1.0.tar.gz |
| Windows binaries: | r-devel: fplot_1.1.0.zip, r-release: fplot_1.1.0.zip, r-oldrel: fplot_1.1.0.zip |
| macOS binaries: | r-release (arm64): fplot_1.1.0.tgz, r-oldrel (arm64): fplot_1.1.0.tgz, r-release (x86_64): fplot_1.1.0.tgz, r-oldrel (x86_64): fplot_1.1.0.tgz |
| Old sources: | fplot archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.