On 19-08-2013, at 18:24, William Dunlap wrote:
>> I am a newbie too. I will share what I do normally for speeding up the code.
>>
>> 1. Restrict defining too many variables (Global/ Local)
>> 2. Use apply functions (apply,sapply,lapply,tapply, etc.) whenever feasible
>> 3. Having multiple user
nlap
Spotfire, TIBCO Software
wdunlap tibco.com
> -Original Message-
> From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] On
> Behalf
> Of Heramb Gadgil
> Sent: Monday, August 19, 2013 8:13 AM
> To: Laz
> Cc: r-help@r-project.org
> Subject:
Greetings,
Thanks Jeff. I appreciate your 'to the point' explanation. Will read into
it more.
Best,
Heramb Gadgil
2013/8/19 Jeff Newmiller
> 1. Keeping the number of variables down encourages you to structure your
> data, which allows you to re-use code more efficiently. However, I don't
> be
1. Keeping the number of variables down encourages you to structure your data,
which allows you to re-use code more efficiently. However, I don't believe that
the number of variables intrinsically slows down your code significantly.. e.g.
storing a computed value in a local variable is almost al
Greetings,
I am a newbie too. I will share what I do normally for speeding up the code.
1. Restrict defining too many variables (Global/ Local)
2. Use apply functions (apply,sapply,lapply,tapply, etc.) whenever feasible
3. Having multiple user defined functions doesn't help. Try to compact
everyt
Yes Bert, I am a beginner in writing R functions. I just don't know what
to avoid or what to use in order to make the R functions faster.
When I run the individual functions, they run quite well.
However, calling all of them using the final function it becomes too slow.
So I don't know how to m
... and read the "R Language Definition" manual. I noticed unnecessary
constructs
(e.g., z <- f(something); return(z)) that suggest you have more basics
to learn to write efficient, well-structured R code.
-- Bert
On Mon, Aug 19, 2013 at 3:55 AM, Michael Dewey wrote:
> At 10:28 19/08/2013, Laz w
At 10:28 19/08/2013, Laz wrote:
Dear R users,
I have written a couple of R functions, some are through the help of
the R group members. However, running them takes days instead of
minutes or a few hours. I am wondering whether there is a quick way
of doing that.
Your example code is rather
Dear R users,
I have written a couple of R functions, some are through the help of the
R group members. However, running them takes days instead of minutes or
a few hours. I am wondering whether there is a quick way of doing that.
Here are all my R functions. The last one calls almost all of
9 matches
Mail list logo
