On May 3, 2010, at 6:16 PM, Carson Baughman wrote:
All-
Thank you in advance for any help you might be able to lend.
Here is
my issue. I am trying to open a fairly large .dat file. The file
originally was downloaded as a GZ file but I unzipped it (with 7-
zip) into
it's current 1.86 gig .dat format. I know that the data is "just a
plain
ASCII file with 720 columns and 360 rows per time step (month). It
should be
readable by anything!" There are 1272 steps.
What's a step?
Here is what happens when I
try to assign the file to an object:
clds<-read.table("C:\\CRU
Data\\TS3.0\\Cloud\\cru_ts_3_00.1901.2006.cld.dat", header = TRUE,
row.names
= 1)
Error in read.table("C:\\CRU
Data\\TS3.0\\Cloud\\cru_ts_3_00.1901.2006.cld.dat", :
duplicate 'row.names' are not allowed
If you want to assign rownames that are different than the default
sequential integers, you need to offer a vector of unique character
values. Perhaps you wanted to specify row.names=NULL ?
In addition: There were 45 warnings (use warnings() to see them)
warnings()
1: In scan(file, what, nmax, sep, dec, quote, skip,
nlines, ... :
Reached total allocation of 1535Mb: see help(memory.size)
X 25
26: In type.convert(data[[i]], as.is = as.is[i], dec =
dec, ... :
Reached total allocation of 1535Mb: see help(memory.size)
Sounds like you may be in trouble with memory resources. As the
message says, see :
help(memory.size)
--
Carson Baughman
Cell: (406) 360-9254
University of Alaska Fairbanks
Scenarios Network for Alaska Planning
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