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.


Reference manual

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1.0 by Abbas Parchami, 5 years ago

Browse source code at https://github.com/cran/Weighted.Desc.Stat

Authors: Abbas Parchami (Department of Statistics , Faculty of Mathematics and Computer , Shahid Bahonar University of Kerman , Kerman , Iran)

Documentation:   PDF Manual  

LGPL (>= 3) license

Suggested by SWIM.

See at CRAN