Dear all I have a dataset examining the probability of a population surviving (calculated from a logistic regression) of a species over a 200yr period. The predictor variables are either continuous but non-normal (e.g. temperature, oxygen) or categorical (e.g. channelisation), unfortunately I also have a large amount of missing values.
Year Decline Temperature Oxygen Channelisation 1800 0.947758115 36.6 NA NA 1801 0.946135961 25.2 NA NA 1802 0.944466388 28.5 NA NA 1803 0.942748196 35.5 NA NA 1804 0.940980166 33 NA NA 1805 0.93916106 30.2 NA NA truncated … 1999 0.028531339 10.5 NA 5 2000 0.027649801 8.4 NA 5 I have been trying to run a Cox Proportional Hazards Model with the code model<-coxph(Surv(Year, Decline) ~ Temperature + Oxygen + Channelisation) but keep getting an error message ‘Invalid status value’. Have I inputted the data in the wrong format or am I trying to run a totally unsuitable model? Any help would be greatly appreciated Tom -- View this message in context: http://n4.nabble.com/Survival-analysis-tp1559155p1559155.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.
