Hello,
I have a number of files output1.dat, output2.dat, ... , output20.dat,
each of which monitors several variables over a fixed number of
timepoints. From this I want to create a data frame which contains the
mean value between all files, for each timepoint and each variable.
The code below works, but it seems like I should be able to do the
second part without a for loop. I played with sapply(myList, mean),
but that seems to take the mean between time points and files, rather
than just between files.
#Number of files to calculate mean value between
numberOfRuns = 20;
myList = list();
for (i in 1:numberOfRuns) {
#Read in file
fileName = paste("output", i, ".dat", sep="");
myData = read.table(fileName, header=TRUE);
#Append data frame to list
myList[[i]] = myData;
}
#Create variable to store data means
myAverage = myList[[1]]/numberOfRuns;
for (i in 2:numberOfRuns) {
myAverage = myAverage + myList[[i]]/numberOfRuns;
}
Is a list of data frames a sensible structure to store this or should
I use an array?
Any pointers gratefully received.
Ed Long
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