I try to run an if-else command line where the else argument should be the corresponding value of the pmax command.
##################### #opt.fc is the optimal forecast #rmax is the vector of the maximized r squared from pmax-command of 2 data sets containing r squares #fc1 are the estimates of a specific forecast model (e.g. AR1) #fc are the estimates of a specific forecast model, namely the Benchmark (e.g. mean) opt.fc <- as.numeric(373) #data length is 373 for (x in 1:373) { if (rmax[x] < 0.1) opt.fc[x] <- fc[x] #if rmax smaller than the value 0.1 the forecast of the benchmark should be used. else opt.fc[x] <- fc1[x] #else the forecast of fc model should be used. } So far, so easy. How can I compute the opt.fc when I have more than one alternative forecast model, let's say fc2 and fc3. In Addition, I want to use the values from the forecast model where the values of the corresponding r squared are maxed (pmax(fcr1,fcr2,fcr3...) ..... :( any ideas? Thank you very much in advance. -- View this message in context: http://r.789695.n4.nabble.com/Help-for-i-else-iwth-more-than-one-alternative-tp4698410.html Sent from the R help mailing list archive at Nabble.com. [[alternative HTML version deleted]] ______________________________________________ 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.