search for: some_dataset

...ot;spec") (Where "prediction" and "performance" are ROCR-functions.) How can I then retrieve the cutoff value for the sensitivity/specificity tradeoff with regard to the data in the model (e.g. model = glm(binary_classifier_vector ~ data, family="binomial", data=some_dataset)? Perhaps I missed something in the manual? Or do I need an entirely different approach for this? Or is there an alternative solution? Thanks, Christian --

Dear all, I have a file with 57 columns (671 time points in each column) File looks like this: 1 0.279191 -1.203200e-02 -0.166772 6.12080e-02 0.196379 4.591900e-02 0.293689 2 0.267017 -1.150700e-02 -0.159463 5.85400e-02 0.187775 4.392200e-02 0.280854 3 0.053778 -2.322000e-03 -0.032103 1.18490e-02 0.037921 8.867000e-03 0.056571 4 0.035469 -1.531000e-03