Mmean: Minkowski mean

In SAFD: Statistical Analysis of Fuzzy Data

Description

Given a sample XX of polygonal fuzzy numbers the Minkowski-mean of the sample is calculated. The function fist calls Msum to check if XX has the correct format and, in case yes, sc_mult is used to calculate the Minkowski-mean of the fuzzy sample XX. If pic=1 then the sample and its mean are plotted, otherwise no plot is produced.

Usage

Mmean(XX, pic = 0)

Arguments

XX	...should be a list of polygonal fuzzy numbers (the functions implicitly checks the conditions)
pic	...numeric, if pic=1 then the sample mean of XX is printed. By default pic=0.

Details

See examples

Value

Given input XX in the correct format the function returns the Minkowski mean of the polygonal fuzzy numbers contained in the list XX.

Note

In case you find (almost surely existing) bugs or have recommendations for improving the functions comments are welcome to the above mentioned mail addresses.

Author(s)

Wolfgang Trutschnig <[e-mail]>, Asun Lubiano <[e-mail]>

See Also

See Also as checking, translator, Msum, sc_mult, Bvar

Examples

#Example 1:
data(XX)
A<-Mmean(XX,1)

X<-translator(XX[[1]],50)
Y<-translator(XX[[2]],50)
Z<-translator(XX[[3]],50)
YY<-list(X,Y,Z)
A<-Mmean(YY,pic=1)


#Example 2:
data(Trees)
Species1_Mean<-Mmean(Trees[[1]],1)
Species1_Mean
Species2_Mean<-Mmean(Trees[[2]],1)
Species2_Mean
Species3_Mean<-Mmean(Trees[[3]],1)
Species3_Mean

Example output

[1] "use translator function to assure that list elements are compatible (same alpha levels)"
         x alpha
1 2.580451     0
2 2.984962     1
3 3.353383     1
4 3.736842     0
         x alpha
1 1.955046     0
2 2.288073     1
3 2.620183     1
4 3.055963     0
         x alpha
1 2.424324     0
2 2.829730     1
3 3.170270     1
4 3.537838     0

SAFD documentation built on July 3, 2019, 5:02 p.m.