Hi,
May be this helps:
lst1<-dlply(data,.(FileNo,ChannelNo),transform,filtered=applyfilter(ChannelB))
data2<-do.call(rbind,lapply(lst1,function(x){x$filtered<-
as.numeric(x$filtered);x}))
row.names(data2)<- row.names(data)
head(data,3)
# Time ChannelA ChannelB FileNo ChannelNo
#1161 1.83214e-05 4.527559 6.873434 1 1
#1171 2.36814e-05 4.881890 13.602919 1 1
#1181 2.90414e-05 4.803150 21.092224 1 1
head(data2,3)
# Time ChannelA ChannelB FileNo ChannelNo filtered
#1161 1.83214e-05 4.527559 6.873434 1 1 NA
#1171 2.36814e-05 4.881890 13.602919 1 1 NA
#1181 2.90414e-05 4.803150 21.092224 1 1 17.04348
A.K.
----- Original Message -----
From: Ingo Reinhold <in...@kth.se>
To: "r-help@r-project.org" <r-help@r-project.org>
Cc:
Sent: Tuesday, August 27, 2013 9:17 AM
Subject: [R] [plyr] Moving average filter with plyr
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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