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



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