Polygonal Symbolic Data Analysis

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) . 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.


News

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("psda")

1.3.2 by Wagner Silva, a month ago


Browse source code at https://github.com/cran/psda


Authors: Wagner Silva [aut, cre, ths] , Renata Souza [aut] , Francisco Cysneiros [aut]


Documentation:   PDF Manual  


GPL-2 license


Imports ggplot2, rgeos, plyr, sp, raster, stats

Suggests testthat


See at CRAN