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...tisfactory result as misclassification rate is too high. I think categorical variables are responsible for this debacle. Some of them have more than 6 level (one has 10 level). Please suggest some better regression model for this situation. If possible you can suggest some article. thanking you. Tirtha -- View this message in context: http://www.nabble.com/Appropriate-regression-model-for-categorical-variables-tf3908982.html#a11083540 Sent from the R help mailing list archive at Nabble.com.

...1.401 13.05282 338.3699 283.8090 337.5876 16 1.501 13.00501 338.3422 283.9811 337.5655 17 1.601 12.95854 338.3107 284.1438 337.5394 ... ... I can't understand what does it mean by 'best penalty'. The aic and bic values corresponding to the best penalty are not minimum. Please clarify. Tirtha -- View this message in context: http://www.nabble.com/%27Best-penalty%27-in-design-package-tp15082866p15082866.html Sent from the R help mailing list archive at Nabble.com.

...put of predict.glm() into {0,1} segment and then use it to draw ROC curve using ROCR package OR 2. just use the predicted odds ratio in ROCR package to get "error rate" and use the minimum error rate (as new cut-off) to draw new ROC curve. waiting for reply. with regards and thanks. Tirtha. -- View this message in context: http://www.nabble.com/selecting-cut-off-in-Logistic-regression-using-ROCR-package-tf3931603.html#a11151210 Sent from the R help mailing list archive at Nabble.com.