An implementation of symbolic polygonal data analysis. 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 polygonal histogram and a regression model with its main measures are presented.
| Version: | 1.3.1 |
| Depends: | R (≥ 3.1) |
| Imports: | ggplot2, rgeos, plyr, sp, raster, stats |
| Suggests: | testthat |
| Published: | 2019-03-22 |
| Author: | Wagner Silva [aut, cre, ths], Renata Souza [aut], Francisco Cysneiros [aut] |
| Maintainer: | Wagner Silva <wjfs at cin.ufpe.br> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| Citation: | psda citation info |
| CRAN checks: | psda results |
| Reference manual: | psda.pdf |
| Package source: | psda_1.3.1.tar.gz |
| Windows binaries: | r-devel: psda_1.3.1.zip, r-release: psda_1.3.1.zip, r-oldrel: psda_1.3.1.zip |
| OS X binaries: | r-release: psda_1.3.1.tgz, r-oldrel: psda_1.3.1.tgz |
| Old sources: | psda archive |
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