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

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