Thanks.
library(ROCR) was used finally. It also automatically generate a plot beside
the value of AUC.
On Dec 31, 2007 11:38 PM, Frank E Harrell Jr <[EMAIL PROTECTED]>
wrote:
> zhijie zhang wrote:
> > Dear all,
> > Some functions like 'ROC(Epi)' can be used to perform ROC analyssi,
> but it
> >
zhijie zhang wrote:
> Dear all,
> Some functions like 'ROC(Epi)' can be used to perform ROC analyssi, but it
> needs us to specify the fitting model in the argument. Now i have got the
> predicted p-values (0,1) for the 0/1 response variable using some other
> approach, see the following example
Hi, ZJ,
In verification package, there is a function that takes observed
response and predicted probability and then calculate the ROC.
I am not sure if it is what you are after.
On Dec 31, 2007 10:27 AM, zhijie zhang <[EMAIL PROTECTED]> wrote:
> Dear all,
> Some functions like 'ROC(Epi)' can be
Dear all,
Some functions like 'ROC(Epi)' can be used to perform ROC analyssi, but it
needs us to specify the fitting model in the argument. Now i have got the
predicted p-values (0,1) for the 0/1 response variable using some other
approach, see the following example dataset:
id mark predict.p
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