Thank you a ton - this simplifies my work considerably.- Shankar
Rolf Turner wrote:
On 24/03/2010, at 9:50 AM, shan...@bios.unc.edu wrote:
Hello,
I am working multiple simulated data sets with missing values, I would
like to store these data sets in either tab delimited format for .csv
format with missing values marked as NaN's instead of NA's.
I read the import/export document which mentions that write.table
command converts NaN's to NA. Is there any other way I can store the
NaN's. I tried the write syntax it gives me error codes.
Each data files are of dimensions 1000 x 21 .
I would appreciate any help in this regard.
A feasible workaround is to convert your data to character before writing them.
Suppose that your data are in a data frame called ``clyde''. Set
mung <- as.data.frame(lapply(clyde,as.character))
write.csv(mung,"mung.csv",row.names=FALSE,quote=FALSE)
# Check:
gorp <- read.csv("mung.csv")
all.equal(gorp,clyde)
[1] TRUE
HTH
cheers,
Rolf Turner
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