On 09/02/2011 05:29 PM, Doussa wrote:
I have a matrix in wich there are two colmns( yp, yt) Yp: predicted values from my model. yt: true values ( my dependante variable y is a categorical;3 modalities (0,1,2) I don't know how to procede to calculate the misclassification rate and the error Types.
Suppose your data looks like this: > yp <- sample(0:2,50,replace=TRUE) > yt <- sample(0:2,50,replace=TRUE) You can create a cross-classification table with: > tab <- table(yp,yt) > tab yt yp 0 1 2 0 5 8 5 1 2 11 9 2 1 2 7 And the misclassification rate is > 1-sum(diag(tab))/sum(tab) [1] 0.54 -- Patrick Breheny Assistant Professor Department of Biostatistics Department of Statistics University of Kentucky ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
