On Aug 11, 2014, at 8:01 PM, John McKown wrote:
On Mon, Aug 11, 2014 at 9:43 PM, Thomas Adams tea...@gmail.com wrote:
Grant,
Assuming all your filenames are something like file1.txt,
file2.txt,file3.txt... And using the Mac OSX terminal app (after you cd to
the directory where your files
On 12/08/2014 07:07, David Winsemius wrote:
On Aug 11, 2014, at 8:01 PM, John McKown wrote:
On Mon, Aug 11, 2014 at 9:43 PM, Thomas Adams tea...@gmail.com wrote:
Grant,
Assuming all your filenames are something like file1.txt,
file2.txt,file3.txt... And using the Mac OSX terminal app (after
Thank you all kindly.
Grant Rettke | ACM, AMA, COG, IEEE
gret...@acm.org | http://www.wisdomandwonder.com/
“Wisdom begins in wonder.” --Socrates
((λ (x) (x x)) (λ (x) (x x)))
“Life has become immeasurably better since I have been forced to stop
taking it seriously.” --Thompson
On Tue, Aug 12,
On Sun, Aug 10, 2014 at 6:50 PM, John McKown
john.archie.mck...@gmail.com wrote:
OK, I assume this results in a vector of file names in a variable,
like you'd get from list.files();
Yes.
Why? Do you need them in separate data frames?
I do not.
The meat of the question. If you don't need
Grant,
Assuming all your filenames are something like file1.txt,
file2.txt,file3.txt... And using the Mac OSX terminal app (after you cd to
the directory where your files are located...
This will strip off the 1st lines, that is, your header lines:
for file in *.txt;do
sed -i '1d'${file};
done
On Mon, Aug 11, 2014 at 9:43 PM, Thomas Adams tea...@gmail.com wrote:
Grant,
Assuming all your filenames are something like file1.txt,
file2.txt,file3.txt... And using the Mac OSX terminal app (after you cd to
the directory where your files are located...
This will strip off the 1st lines,
Just load the data frames into a list and give that list to rbind. It is way
more efficient to be able to identify how big the final data frame is going to
have to be at the beginning and preallocate the result memory than to
incrementally allocate larger and larger data frames along the way
On Aug 10, 2014, at 11:51 AM, Grant Rettke wrote:
Good afternoon,
Today I was working on a practice problem. It was simple, and perhaps
even realistic. It looked like this:
• Get a list of all the data files in a directory
• Load each file into a dataframe
• Merge them into a single
Err... sorry... you have to use do.call with base rbind as David illustrates. I
am spoiled by rbind.fill from the plyr package. rbind.fill accepts the list
directly and also fills in any missing columns with NA, which avoids having to
dig through all the files to find any oddballs.
On Sun, Aug 10, 2014 at 1:51 PM, Grant Rettke g...@wisdomandwonder.com wrote:
Good afternoon,
Today I was working on a practice problem. It was simple, and perhaps
even realistic. It looked like this:
• Get a list of all the data files in a directory
OK, I assume this results in a vector
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