|Subject:||Re: Combining comma separate files|
|Date:||Tue, 12 Nov 2013 03:04:34 -0500|
On Mon, Nov 11, 2013 at 10:35:40PM -0500, Ken Singh wrote:Here is one way you could solve that problem, assuming that both your
It is unclear to me how to quickly and efficiently combine a set of comma
separated files into one data file. The easy solution would be to use the
unix 'cat' command to concatenate the files then import using the graphical
interface. However, I'm interested in a purely PSPP based solution.
I have tried GET DATA in combination with SAVE but it appears that the
dataset must be made active. I am not certain about this step.
/OUTFILE = 'e:\dropbox\data\tmp.sav'
CSV files have the same arrangement:
dataset declare d_one.
dataset activate d_one.
GET DATA /TYPE=TXT /FILE='one.csv' /VARIABLES=x F8.2 y F8.2 z F8.2.
dataset declare d_two.
dataset activate d_two.
GET DATA /TYPE=TXT /FILE='two.csv' /VARIABLES=x F8.2 y F8.2 z F8.2.
dataset declare d_concat.
dataset activate d_concat.
ADD FILES /FILE=d_one /FILE=d_two.
The problem with CSV is that there is no metadata. How should pspp (or anyone else!)
It also appears that the VARIABLES subcommand is required. Is there a
solution for when one has dozens of variables?
know if a column is to be interpreted as a string, a date, or whatever? If you
happen to know that all your files have the same arrangement, then one solution you
could try, is to use psppire's import function to "guess" the arrangement of each file
(hopefully it should guess each one identically) and save to a .sav - then you can use
ADD FILES to concatonate all the files at once.
Again, if the order that the .txt files should be read cannot be determined from
The bigger problem is that I have many raw#.txt files, not necessarily
contiguously numbered. Any suggestions would be most appreciated.
the names, then you must tell it. At the end of the day, pspp is a statistical
analysis tool, not an artificial intelligence engine (although the format guesser does
attempt to go a small way in that direction).
Hope this is helpful.
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