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SAFD (version 2.1)

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 and sample variance. Moreover a function to simulate fuzzy random variables and bootstrap tests for the equality of means is included. Version 2.1 fixes some bugs of previous versions.

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Version

Install

install.packages('SAFD')

Monthly Downloads

196

Version

2.1

License

GPL (>= 2)

Maintainer

Asun Lubiano

Last Published

July 3rd, 2019

Functions in SAFD (2.1)

btest2.mean

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

Decomposer
btest1.mean

One-sample bootstrap test for the mean of a FRV
checking2

Checking correct data format (weak version)
translator

Translator
Msum

Minkowski sum
bertoluzza

Bertoluzza distance
XX

Example data
btestk.mean

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

Checking correct data format
SAFD-package

SAFD
Trees

Tree dataset
defuzzify

Defuzzification
generator

Simulation of fuzzy random variables (FRV)
Fmedian

Median of a fuzzy sample
Bvar

(Sample) Variance
sc_mult

Minkowski scalar multiplication
hukuhara

Hukuhara Difference
Mmean

Minkowski mean