Dear fellow R-ussers,
Thanks for your help on th AIC.
I have yet an other question about logistic models. to buuild the model i
used sevral packages, (MASS, nlme, binom), just to make sure i had all the
tools at my disposal. now i would like to validat the model. ussing a
cross validation tool.
In a normal logistical case you get an error table giving the number of
cases classified under 0/1 by the model, and a comparison with the real
classification of the test sample.
table 1
glm 0 1
FALSE 8 14
TRUE 0 8
Apperently this is not the case when you have categorical data. Then you
get an output for every interval of your predictor variable , and this is
compared to the frequency of this variable, so it is very hard to
interpred.
table 2
glm 0 2 3 4 7
FALSE 1 0 0 1 1
TRUE 1 2 1 0 0
One of the problems is, not only that i can't interpret table 2, but also
that it does not give reference to the number of test samples, wich is
clear in table 1 ( 30 test samples).
Kind regards,
Tom.
Tom Willems
CODA-CERVA-VAR
Department of Virology
Epizootic Diseases Section
Groeselenberg 99
B-1180 Ukkel
Tel.: +32 2 3790522
Fax: +32 2 3790666
E-mail: [EMAIL PROTECTED]
www.var.fgov.be
Disclaimer: click here
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