> > 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") > > Should (probably) have been ... names of RHS variables need to be > exact match: > > new.p <- predict(fit1, newdata= data.frame(data1 = new.data), type = > "response")
Thanks, David and Dennis. That's the thing. I have tried so many alterations overlooking that I mangled old and new variable names, unable to see the obvious. Well, again a nice demonstration of the perils of copy & paste. Thanks, 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.
