HI,I am analyzing a risk model for type 2 diabetes using a logistic regression.
In the final model I have only 6 predictors. The regression gives correct
output (fullmod is the fitted model). Now I have a subset of dataset (mydata1)
with 7 variables (1 response(0/1) + 6 predictors) and try to do cross
validation using cv.glm. The dataset mydata1 has 1410 rows and no NA entry.
This is the problem I run into (It does not matter what K I choose). Any help
in this matter will be appreciated.
> cv.glm(mydata1,fullmod,K=6)
Error in if ((K > n) || (K <= 1)) stop("'K' outside allowable range") :
missing value where TRUE/FALSE needed
Regards,Amit
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