Package: Weighted.Desc.Stat 1.0

Abbas Parchami

Weighted.Desc.Stat: Weighted Descriptive Statistics

Weighted descriptive statistics is the discipline of quantitatively describing the main features of real-valued fuzzy data which usually given from a fuzzy population. One can summarize this special kind of fuzzy data numerically or graphically using this package. To interpret some of the properties of one or several sets of real-valued fuzzy data, numerically summarize is possible by some weighted statistics which are designed in this package such as mean, variance, covariance and correlation coefficent. Also, graphically interpretation can be given by weighted histogram and weighted scatter plot using this package to describe properties of real-valued fuzzy data set.

Authors:Abbas Parchami

Weighted.Desc.Stat_1.0.tar.gz
Weighted.Desc.Stat_1.0.tar.gz(r-4.5-noble)Weighted.Desc.Stat_1.0.tar.gz(r-4.4-noble)
Weighted.Desc.Stat_1.0.tgz(r-4.4-emscripten)Weighted.Desc.Stat_1.0.tgz(r-4.3-emscripten)
Weighted.Desc.Stat.pdf |Weighted.Desc.Stat.html
Weighted.Desc.Stat/json (API)

# Install 'Weighted.Desc.Stat' in R:
install.packages('Weighted.Desc.Stat', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.24 score 2 packages 29 scripts 501 downloads 11 exports 0 dependencies

Last updated 9 years agofrom:2bc7d66fb8. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 18 2024
R-4.5-linuxOKOct 18 2024

Exports:w.adw.covw.cvw.histw.kurtosisw.meanw.plotw.rw.sdw.skewnessw.var

Dependencies: