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ANOVA.TFNs (version 1.0)

One-Way Analysis of Variance Based on Triangular Fuzzy Numbers

Description

Long formulas and complex computations are two disadvantage of the extended ANOVA approach where the observed data are fuzzy rather that crisp; for more details see Parchami et al. (2017) . Package 'ANOVA.TFNs' can help to the applied users to overcome these two challenges. The most important functions in package 'ANOVA.TFNs' is FANOVA() which easily draw all membership functions of fuzzy numbers, report observed statistics in fuzzy ANOVA table, calculate the p-value and final result for Fuzzy ANOVA test at the certain significance level.

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Version

Install

install.packages('ANOVA.TFNs')

Monthly Downloads

4

Version

1.0

License

LGPL (>= 3)

Maintainer

Abbas Parchami

Last Published

April 5th, 2018

Functions in ANOVA.TFNs (1.0)

sse

Sum of Squares within treatments (Errors) for crisp observation
ANOVA.TFNs-package

ANOVA.TFNs
mse.fuzzy

Mean of Squares within treatments (Errors) for Triangular Fuzzy observation
crisp.Data

Cutter a part of Data
mse

Mean of Squares within treatments (Errors) for crisp observation
FANOVA

Fuzzy ANOVA Test
sstr.fuzzy

Sum of Squares between Treatments for Triangular Fuzzy observation
sst

Sum of Squares Total for crisp observation
sstr

Sum of Squares between Treatments for crisp observation
mstr.fuzzy

Mean of Squares between Treatments for Triangular Fuzzy observation
sst.fuzzy

Sum of Squares Total for Triangular Fuzzy observation
n

The sample size of factor levels
sse.fuzzy

Sum of Squares within treatments (Errors) for Triangular Fuzzy observation
mstr

Mean of Squares between Treatments for crisp observation
f

Test statistics in ANOVA test for crisp observation
means.vec

Computing means vector for each population
Data

Triangular fuzzy data for batteries lifetime
f.fuzzy

Test statistics in ANOVA test for Triangular Fuzzy observation
plotTFNs

Plotting Triangular Fuzzy Numbers