It would be useful to have a simplified version of the 'nsu' object.
I am guessing it is a list of some sort (e.g. mean is single value,
quantiles here returns 5 numbers) and not a matrix or dataframe (i.e.
regular array). So you can have several choices here:
1) print nsu to a file. e.g. cat(nsu, file="lala", append=T) or using
the sequence sink(file="lala"); print(nsu); sink()
2) compile the nsu objects into a list (if generating nsu takes time,
you can save each nsu and then have a script to read them all into a
list). Then extract the means across the elements in the list (e.g.
sapply) and compile into a regular array before using csv.
Regards, Adai
lanc...@fns.uniba.sk wrote:
I know that my question is like a very newbie question, but at the moment
I stacked with it and I need a quick solution. I need to make an overall
statistical overview of various datasets, the summary() and numSummary()
functions are fully sufficient. My question is, how can I export results
to a spreadsheet-like file, as a .csv. For the summary() with an "x"
dataset I can use this way:
su <- summary(x)
write.csv(su, file = "summary.csv")
The problem with this is that the csv file is rather chaotic.
but when I apply the same for the numSummary(x) output like:
nsu <- numSummary(x[,c("a", "b", "c")], statistics=c("mean", "sd",
"quantiles"), quantiles=c(0,.25,.5,.75,1))
write.csv(nsu, file = "numsummary.csv")
I get the "ERROR: cannot coerce class "numSummary" into a data.frame"
message.
Is there a more convenient way to get a spreadsheet-like output for the
basic statistics?
Many thanks for any help
Tomas
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