On 2011-01-10 12:56, menno wrote:
Hello,
I am looking for a way to quickly split a data frame containing daily
temperature readings into a series of individual data frames, one for each
year, in order to save them as individual .csv files which will be named
according to Year. I would prefer not to use a series of "subset" commands
given that there are a differing number of years for the various location.
The data looks like this:
Day Month Community Year MaxTemp MinTemp
1 1 '241552' 1990 44
29
2 1 '241552' 1990 39
20
3 1 '241552' 1990 35
24
. . . . . .
. . . . . .
4 1 '241552' 1991 23
23
5 1 '241552' 1991 33
31
6 1 '241552' 1991 45
44
. . . . . .
. . . . . .
The "split" command (data2<-split(data, data$Year)) essentially does what
I want, but I am unable to take the output from this command and save the
data from individual years in separate files. I would ideally like to have a
series of output files named "241552_1990", "241552_1991", etc. These data
files will then be run through a loop that I have already created. I have
attempted to feed the output of the split command directly into my
pre-existing loop, but doing so will require major re-writes to my script
due to column/row naming issues.
Any information anyone could provide would be greatly appreciated.
Thanks for your time,
David Roth
How about a simple loop:
for(n in names(data2))
write.table(data2[[n]],
file = paste(dat2[[n]][, "Community"][1],
"_", n, ".TXT", sep=""))
Peter Ehlers
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