sstr.fuzzy: Sum of Squares between Treatments for Triangular Fuzzy...
In ANOVA.TFNs: One-Way Analysis of Variance Based on Triangular Fuzzy Numbers
Description
Usage
Arguments
See Also
Examples
Description
This function calculates Sum of Squares between Treatments (SSTr) for Triangular Fuzzy observation on the basis of m=1,2,3,... (Parchami et al., 2017, 2018).
Usage
1
sstr.fuzzy(Data, m = 1)
Arguments
Data
a matrix with dim=c(n, 4) and FANOVA.Data format.
m
a positive integer number which related to the weight of distance between two cuts of fuzzy numbers, and its default is m=1. For more details see (Parchami et al., 2017, 2018).
See Also
FuzzyNumbers
Examples
1
2
3
4
data(Data)
sstr.fuzzy( Data ) # For m=1
sstr.fuzzy( Data, m=2)
ANOVA.TFNs documentation built on May 1, 2019, 9:14 p.m.
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Description Usage Arguments See Also Examples
Description
This function calculates Sum of Squares between Treatments (SSTr) for Triangular Fuzzy observation on the basis of m=1,2,3,... (Parchami et al., 2017, 2018).
Usage
1 | sstr.fuzzy(Data, m = 1)
|
Arguments
Data |
a matrix with dim=c(n, 4) and |
m |
a positive integer number which related to the weight of distance between two cuts of fuzzy numbers, and its default is m=1. For more details see (Parchami et al., 2017, 2018). |
See Also
FuzzyNumbers
Examples
1 2 3 4 | data(Data)
sstr.fuzzy( Data ) # For m=1
sstr.fuzzy( Data, m=2)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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