for given R data frame: data = data.frame(y = c(25.9,29.5,27.9,25.9,29.9,29.9,30.9,28.9,35.9,31.5,31,30.9,30,36.9,41.9,40.5,43.9,37.5,37.9,44.5),x6 = c(7,7,6,6,6,6,7,6,6,6,5,6,5,8,7,6,7,6,6,8),x7 = c(4,4,3,3,3,3,3,3,3,3,2,3,2,4,3,3,3,3,3,4),x9 = c(0,0,0,0,0,0,1,0,0,0,0,0,1,0,1,0,0,1,0,1)) What is the R code to find the expectation value of the mean squared purity error?

MATLAB: An Introduction with Applications
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Author:Amos Gilat
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for given R data frame:

data = data.frame(y = c(25.9,29.5,27.9,25.9,29.9,29.9,30.9,28.9,35.9,31.5,31,30.9,30,36.9,41.9,40.5,43.9,37.5,37.9,44.5),x6 = c(7,7,6,6,6,6,7,6,6,6,5,6,5,8,7,6,7,6,6,8),x7 = c(4,4,3,3,3,3,3,3,3,3,2,3,2,4,3,3,3,3,3,4),x9 = c(0,0,0,0,0,0,1,0,0,0,0,0,1,0,1,0,0,1,0,1))

 

What is the R code to find the expectation value of the mean squared purity error?

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