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SAFD (version 1.0-1)

Statistical Analysis of Fuzzy Data

Description

The aim of the package is to provide some basic functions for doing statistics with one dimensional Fuzzy Data (in the form of polygonal fuzzy numbers). In particular, the package contains functions for the basic operations on the class of fuzzy numbers (sum, scalar product, mean, median, Hukuhara difference) as well as for calculating (Bertoluzza) distance, sample variance, sample covariance, and the Dempster-Shafer (levelwise) histogram. Moreover a function to simulate fuzzy random variables, bootstrap tests for the equality of means, and a function to do linear regression given trapezoidal fuzzy data is included. Version 1.0 fixes some bugs of previous versions.

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Version

Install

install.packages('SAFD')

Monthly Downloads

160

Version

1.0-1

License

GPL (>= 2)

Maintainer

Asun Lubiano

Last Published

December 11th, 2015

Functions in SAFD (1.0-1)

DShistogram

Levelwise Dempster-Shafer Histogram
XX

Example data
btest.mean

One-sample bootstrap test for the mean of a FRV
bertoluzza

Bertoluzza distance
quality

Quality dataset
hukuhara

Hukuhara Difference
sc_mult

Minkowski scalar multiplication
Bvar

(Sample) Variance
btest2.mean

Two-sample bootstrap test on the equality of mean of two FRVs
checking2

Checking correct data format (weak version)
Msum

Minkowski sum
Fmedian

Median of a fuzzy sample
lrmodel

Linear Regression model
btestk.mean

Multi-sample bootstrap test for the equality of the mean of FRVs
decomposer

Decomposer
checking

Checking correct data format
DSfrequency

Levelwise Dempster-Shafer frequency
defuzzify

Defuzzification
translator

Translator
Bcov

(Sample) Covariance
generator

Simulation of fuzzy random variables (FRV)
SAFD-package

Statistical Analysis of Fuzzy Data
Trees

Tree dataset
Mmean

Minkowski mean