Warren Young wrote:
Farrel Buchinsky wrote:
Is R an appropriate tool for data manipulation and data reshaping and
data
organizing? I think so but someone who recently joined our group
thinks not.
The new recruit believes that python or another language is a far better
tool for developing
Farrel Buchinsky wrote:
Is R an appropriate tool for data manipulation and data reshaping and data
organizing? I think so but someone who recently joined our group thinks not.
The new recruit believes that python or another language is a far better
tool for developing data manipulation scripts
2009/5/6 Emmanuel Charpentier charp...@bacbuc.dyndns.org:
Le mercredi 06 mai 2009 à 00:22 -0400, Farrel Buchinsky a écrit :
Is R an appropriate tool for data manipulation and data reshaping and data
organizing?
[ Large Snip ! ... ]
Depends on what you have to do.
I've done what can be more
I am not a statistician and not a computer scientist by education. I
consider myself an R novice and came to R - thanks to my boss - from
an SPSS background. I work for a market research company and the most
typical data files we deal with are not huge - up to several thousand
rows and up to a
Le lundi 11 mai 2009 à 23:20 +0800, ronggui a écrit :
[ Snip... ]
But, at least in my trade, the ability to handle Excel files is a must
(this is considered as a standard for data entry. Sigh ...).
[ Re-snip... ]
I don't think Excel is a standard tool for data entry. Epidata entry
is
+1. I worked with Matthew for a while and saw in practice just how
powerful that package is.
I'm surprised it isn't more widely used.
Martin
Tom Short wrote:
Another tool I find useful is Matthew Dowle's data.table package. It
has very fast indexing, can have much lower memory requirements
Farrel Buchinsky wrote:
Is R an appropriate tool for data manipulation and data reshaping and data
organizing? I think so but someone who recently joined our group thinks
not.
The new recruit believes that python or another language is a far better
tool for developing data manipulation
well, I am less proficient in R comparing with other tools/languages.
Therefore my biased opinion is - it is possible in R, but it may be
easier if you use other tools, especially if you have to build a
user-friendly GUI.
The most accessible (although limited to MS Windows only) method would
Sorry for reply to the wrong person, I lost the original email.
Farrel Buchinsky wrote:
Is R an appropriate tool for data manipulation and data reshaping and data
organizing? I think so but someone who recently joined our group thinks
not.
The new recruit believes that python or another
Le mercredi 06 mai 2009 à 00:22 -0400, Farrel Buchinsky a écrit :
Is R an appropriate tool for data manipulation and data reshaping and data
organizing?
[ Large Snip ! ... ]
Depends on what you have to do.
I've done what can be more or less termed data management with almost
uncountable tools
On Wed, May 06, 2009 at 12:22:45AM -0400, Farrel Buchinsky wrote:
Is R an appropriate tool for data manipulation and data reshaping and data
organizing? I think so but someone who recently joined our group thinks not.
The new recruit believes that python or another language is a far better
I second what Zeljko wrote. In addition, see the data manipulation
section in Chapter 4 of
http://biostat.mc.vanderbilt.edu/wiki/pub/Main/RS/sintro.pdf
Frank
Zeljko Vrba wrote:
Sorry for reply to the wrong person, I lost the original email.
Farrel Buchinsky wrote:
Is R an appropriate
Take a look at plyr and reshape packages (http://had.co.nz/), I have a hunch
that they would have saved me a lot of headache had I found out about them
earlier :)
As the author of these two packages, I'm admittedly biased, but I
think R is unparalleled for data preparation, manipulation, and
--- On Wed, 5/6/09, Farrel Buchinsky fjb...@gmail.com wrote:
Is R an appropriate tool for data
manipulation and data reshaping and data
organizing? I think so but someone who recently joined our
group thinks not.
I only do small scale projects and am by no means a programmer. Isn't Perl
transparence, compared to
other software.
Laura
***
Date: Wed, 6 May 2009 06:42:45 -0700
From: jrkrid...@yahoo.ca
To: r-h...@stat.math.ethz.ch; fjb...@gmail.com
CC: ross.laza...@gmail.com; gregory_war...@urmc.rochester.edu; g...@warnes.net
Subject: Re: [R] Do you use R for data
ghin...@hotmail.it
To: jrkrid...@yahoo.ca; r-h...@stat.math.ethz.ch; fjb...@gmail.com
Cc: ross.laza...@gmail.com; gregory_war...@urmc.rochester.edu;
g...@warnes.net
Sent: Wednesday, May 06, 2009 2:53 PM
Subject: Re: [R] Do you use R for data manipulation?
I used R for my master thesis (with big
- From: Laura Arsanto ghin...@hotmail.it
To: jrkrid...@yahoo.ca; r-h...@stat.math.ethz.ch; fjb...@gmail.com
Cc: ross.laza...@gmail.com; gregory_war...@urmc.rochester.edu;
g...@warnes.net
Sent: Wednesday, May 06, 2009 2:53 PM
Subject: Re: [R] Do you use R for data manipulation?
I used R for my
I also use the approach Philipp describes below. I use Python and shell
scripts for processing thousands of input files and getting all the data
into one tidy csv table. From that point onwards it's R all the way
(often with the reshape package).
Paul
Philipp Pagel wrote:
On Wed, May 06,
.
- Original Message -
From: Laura Arsanto
To: simon.pick...@bto.org
Sent: Wednesday, May 06, 2009 3:09 PM
Subject: RE: [R] Do you use R for data manipulation?
dear simon,
my job now is doing a benchmark between SAS and open source tools (like R,
weka, etc) for data and text
I work in cognitive science where we collect one or more data files
per participant in an experiment then merge those files to perform
subsequent analyses. Sometimes some files are in wide format and
others are in long format, necessitating reshaping. I've found R
entirely satisfactory for this.*
] Do you use R for data manipulation?
Is R an appropriate tool for data manipulation and data reshaping and
data
organizing? I think so but someone who recently joined our group thinks
not.
The new recruit believes that python or another language is a far
better
tool for developing data
Another tool I find useful is Matthew Dowle's data.table package. It
has very fast indexing, can have much lower memory requirements than a
data frame, and has some built-in data manipulation capability.
Especially with a 64-bit OS, you can use this to keep things in memory
where you otherwise
Simon Pickett simon.pick...@bto.org wrote
My institute uses SAS religiously, I am the only R heathen.
I have resisted learning to use SAS because I dont see the point after years
of using R and I like being able to do everything using one program.
However, my colleagues maintain that SAS is
: Re: [R] Do you use R for data manipulation?
I used R for my master thesis (with big effort, anyway) and now I find
difficult to use R in my daily work, becasue it has really serious
problems with datasets of big dimension, both in the data manipulation
step and in the analysis step.
But I
I also put my 2cents on sqldf :-)
milton
On Wed, May 6, 2009 at 12:30 AM, Wensui Liu liuwen...@gmail.com wrote:
take a look at sqldf package(http://code.google.com/p/sqldf/), you
will be amazed.
On Wed, May 6, 2009 at 12:22 AM, Farrel Buchinsky fjb...@gmail.com
wrote:
Is R an appropriate
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