Dear all, I'm stuck with a problem using plyr to process a rather large junk of data. What I'm trying to do is applying a moving average to all the subparts of the dataframe (the example data can be found here https://dl.dropboxusercontent.com/u/2414056/testData.Rdata).
require(plyr) load("testData.Rdata") applyfilter<-function(x){ return(filter(x,rep(1/5, times=5))) } data.trash<-ddply(data, .(FileNo, ChannelNo), transform, filtered=applyfilter(ChannelB)) The result from this is Error in attributes(output[[var]]) <- attributes(value) : invalid time series parameters specified though the number of return values seems right to me. Do you have any thoughts or suggestions? Many thanks, Ingo [[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.