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, transformation of the data in polygons. Empirical probability distribution function based on polygonal histogram and regression models are presented.
Version: | 1.0.1 |
Depends: | R (≥ 3.1) |
Imports: | ggplot2, rgeos, plyr, sp, raster, stats |
Suggests: | testthat |
Published: | 2018-10-08 |
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_1.0.1.tar.gz |
Windows binaries: | r-devel: psda_1.0.1.zip, r-release: psda_1.0.1.zip, r-oldrel: psda_1.0.1.zip |
OS X binaries: | r-release: psda_1.0.1.tgz, r-oldrel: psda_1.0.1.tgz |
Old sources: | psda archive |
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