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psda
View on CRAN: Click
here
Download and install psda package within the R console
Install from CRAN:
install.packages("psda")
Install from Github:
library("remotes")
install_github("cran/psda")
Install by package version:
library("remotes")
install_version("psda", "1.4.0")
Attach the package and use:
library("psda")
Maintained by
Wagner Silva
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-09-05
Latest Update: 2020-05-24
Description:
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.
How to cite:
Wagner Silva (2017). psda: Polygonal Symbolic Data Analysis. R package version 1.4.0, https://cran.r-project.org/web/packages/psda. Accessed 21 Nov. 2024.
Previous versions and publish date:
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Other R packages that psda depends,
imports, suggests or enhances
Functions, R codes and Examples using
the psda R package
Some associated functions: fitted . longair . na.omit . paggreg . parea . pconvex . pcorr . pcov . pfreq . plr . pmean . pmean_id . pplot . print . print.plr . psda-deprecated . psim . psmi . psymbolic . ptransform-deprecated . pvar . pvari . rmsea . saeb2017 . spolygon . summary.plr . wnba2014 .
Some associated R codes: data.R . fitted.plr.R . na.omit.polygonal.R . paggreg.R . parea.R . pconvex.R . pcorr.R . pcov.R . pfreq.R . plr.R . pmean.R . pmean_id.R . pplot.R . print.plr.R . print.summary.plr.R . psda-deprecated.R . psim.R . psmi.R . psymbolic.R . ptransform.R . pvar.R . pvari.R . rmsea.R . spolygon.R . summary.plr.R . Full psda package functions and examples
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