I fit a coxph model: coxphfit <- coxph(Surv(sampledLifetime, !sampledCensoredQ) ~ curpbc6 + prevpbc6, sampledTimeSeries)
Now I'm trying to predict the expected number of events using a new dataset. The documentation suggests that coxPred <- predict(coxphfit, newdata = testTimeSeries, type="expected") will do what I want, but I get the error Error in model.frame.default(data = testTimeSeries, formula = Surv(sampledLifetime, : variable lengths differ (found for 'curpbc6') when I do this. The dataframes sampledTimeSeries and testTimeSeries were constructed by taking rows from a larger dataframe, so they have the same data. What am I doing incorrectly? -- View this message in context: http://r.789695.n4.nabble.com/predicting-expected-number-of-events-using-a-coxph-model-tp4634935.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ 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.
