Hi all, I have a vector, most of which is missing. The data is always increasing, but may do so in jumps. I would like to interpolate the NAs with 'best guesses', using something like filter(), which doesn't work due to the NAs. Here is an example:
> x <- c(2,3,NA,NA,NA,3.2,3.5,NA,NA,6,NA) > x [1] 2.0 3.0 NA NA NA 3.2 3.5 NA NA 6.0 NA I would like a function that would take the NAs and fill in the average values around the NAs. E.g., make a new vector x.new that looks like: > x.new [1] 2.0 3.0 3.1 3.1 3.1 3.2 3.5 4.75 4.75 6 6 Or, alternatively, that could figure out a more likely value than just the average. There must be something simple I'm overlooking, like some kind of loess y-hat or something? Any help would be appreciated, Matt -- Matthew C Keller Asst. Professor of Psychology University of Colorado at Boulder www.matthewckeller.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.
