A toolbox in symbolic data framework as a statistical learning and data mining solution for symbolic polygonal data analysis. This study is a new approach in data analysis and it was proposed by Silva et al. (2019) <doi:10.1016/j.knosys.2018.08.009>. The package presents the estimation of main descriptive statistical measures, e.g, mean, covariance, variance, correlation and coefficient of variation. In addition, a method to obtain polygonal data from classical data is presented. Empirical probability distribution function based on symbolic polygonal histogram and a regression model with its main measures are presented.
| Version: | 1.4.0 |
| Depends: | R (≥ 3.1) |
| Imports: | ggplot2, rgeos, plyr, sp, raster, stats |
| Suggests: | testthat, knitr, rmarkdown |
| Published: | 2020-05-24 |
| Author: | Wagner Silva [aut, cre, ths], Renata Souza [aut], Francisco Cysneiros [aut] |
| Maintainer: | Wagner Silva <wjfs at cin.ufpe.br> |
| BugReports: | https://github.com/wagnerjorge/psda/issues |
| License: | GPL-2 |
| URL: | https://github.com/wagnerjorge/psda |
| NeedsCompilation: | no |
| Citation: | psda citation info |
| Materials: | README |
| CRAN checks: | psda results |
| Reference manual: | psda.pdf |
| Vignettes: |
introdution-psda |
| Package source: | psda_1.4.0.tar.gz |
| Windows binaries: | r-devel: psda_1.4.0.zip, r-release: psda_1.4.0.zip, r-oldrel: psda_1.4.0.zip |
| macOS binaries: | r-release: psda_1.4.0.tgz, r-oldrel: psda_1.4.0.tgz |
| Old sources: | psda archive |
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