Hi, I would like to tabulate the likelihood for an affection. For this, I retrieve indices of affected people and controls for my data set and proceed as follows:
flags <- c(rep(1, length(patient_indices)), rep(0, length(control_indices))) # dataset is a data.frame and param the parameter to be analysed: data1 <- dataset[,param][c(patient_indices, control_indices)] fit1 <- glm(flags ~ data1, family = binomial) new.data <- seq(0, 300, 10) new.p <- predict(fit1, data.frame(newdata = new.data), type = "response") Which than gives data not in dependence of new.data and a warning which reads "Warning message: 'newdata' had 31 rows but variable(s) found have 306 rows" In a similar script new.p were data ranging from 1 to 31 with the cumulative likelihood associated with them. Now new.p looks a bit like random numbers assigned to a list ranging from 1 to 306. (306 is the number of datapoints in data1.) Unfortunately I am unable to spot the difference of the two scripts. I would appreciate any pointer on my mistake (and hope that my problem was understandable). TIA Christian ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
