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Hi, I am stuck with creating a conditional categorical variable in R If my dataframe data_2 has 3 variables A,B,C I want to create variable D which would be something like : data_2$D <- ifelse(data_2$A < data_2$B & promotion_ind =="N",1,0), this throws up an error "In Ops.factor(data_2$A,data_2$B) : < not meaningful for factors I have tried converting the

...wlogit3) to predict I have a have used the code Test_data_1011 <- read.csv(file="TEST DATA_10_11.csv", header = TRUE, sep = ",", row.names = "employee_id", stringsAsFactors = TRUE) pred3 = predict(newlogit3,Test_data_1011 ,type = "response") Warm regards, Dwaipayan American Express made the following annotations on Tue Jun 12 2012 05:44:05 ****************************************************************************** "This message and any attachments are solely for the intended recipient and may contain confidential or privileged information. If...

Could someone help me on this please? -----Original Message----- From: r-help-bounces at r-project.org [mailto:r-help-bounces at r-project.org] On Behalf Of Dwaipayan Dasgupta Sent: Thursday, May 03, 2012 1:43 PM To: r-help at r-project.org Subject: [R] Validation of logistic models in R 2.12 Hi everyone, I am trying to validate a logistic model built in R. Not my version of R is 2.12 and I cannot install ROCR. I have gone to a point where I have the predicted...

Hi, I am trying to do some predictive modeling around attrition and want to split the dataset into test and train (80:20) and keep the ratio of attritees:non attrites same. In my dataset the attrition indicator is coded as 0(for non-attritees) and 1 (for attritees) and I want to keep the ratio of 0's to 1 similar. I apologize for this trivial question but this is my second week with R.

Hi everyone, I am trying to validate a logistic model built in R. Not my version of R is 2.12 and I cannot install ROCR. I have gone to a point where I have the predicted values using the code: pred1 = predict(trainlogit1,testdata_1, type = "response") How do I proceed from here? Is there another way in which I can plot lift charts? My model output is: Call: glm(formula =