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SAFD (version 0.02)

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, Hukuhara difference) as well as for calculating (Bertoluzza) distance, sample variance, sample covariance, sample correlation, 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.

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Version

Install

install.packages('SAFD')

Monthly Downloads

160

Version

0.02

License

GPL (>= 2)

Maintainer

Wolfgang Trutschnig

Last Published

October 23rd, 2009

Functions in SAFD (0.02)

sc_mult

Minkowski scalar multiplication
btest2.mean

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

Minkowski sum
SAFD-package

Statistical Analysis of Fuzzy Data
Mmean

Minkowski mean
btestk.mean

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

Levelwise Dempster-Shafer frequency
generator

Simulation of fuzzy random variables (FRV)
checking

Checking correct data format
Bcor

(Sample) correlation
bertoluzza

Bertoluzza distance
checking2

Checking correct data format (weak version)
btest.mean

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

(Sample) Covariance
histogram

Levelwise Dempster-Shafer Histogram
Trees

Tree dataset
hukuhara

Hukuhara Difference
defuzzify

Defuzzification
translator

Translator
Bvar

(Sample) Variance
XX

Example data
lrmodel

Linear Regression model
decomposer

Decomposer