A bit late and possibly tangential.
The mmap package has something called struct() which is really a row-wise array
of heterogenous columns.
As Simon and others have pointed out, R has no way to handle this natively, but
mmap does provide a very measurable performance gain by orienting rows to
Thanks, Tom, for the reply as well as to the reference to Claeskens & Hjort.
Ravi
From: Thomas Lumley [tlum...@uw.edu]
Sent: Thursday, May 03, 2012 4:41 PM
To: Mark Leeds
Cc: Ravi Varadhan; r-devel@r-project.org
Subject: Re: [Rd] The constant part of the lo
On 4 May 2012 at 00:07, Owe Jessen wrote:
| I am running into a wall getting my system to work with rcpp and inline.
| Following Dirk's advice on stackoverflow, I hope someone is able to help
| me.
There is a dedicated mailing list for Rcpp: rcpp-devel.
Please let us try to continue the di
I am running into a wall getting my system to work with rcpp and inline.
Following Dirk's advice on stackoverflow, I hope someone is able to help
me.
My steps were to install MinGW 32 bit first, then installing Rtools, I
disabled MinGW's entry in the PATH.
I am trying to get the following code
On May 3, 2012, at 5:40 PM, victor jimenez wrote:
> First of all, thank you for the answers. I did not know about zoo. However,
> it seems that none approach can do what I exactly want (please, correct me
> if I am wrong).
>
> Probably, it was not clear in my original question. The CSV files onl
Victor,
I understand you as follows
The first two columns of the desired combined dataframe are the last two
levels of the pathname to the csv file.
The columns in all the data.csv files are the same, namely, there is
only
one column, and it is named PERF.
If so, the following
On Thu, May 03, 2012 at 11:40:42PM +0200, victor jimenez wrote:
> First of all, thank you for the answers. I did not know about zoo. However,
> it seems that none approach can do what I exactly want (please, correct me
> if I am wrong).
>
> Probably, it was not clear in my original question. The C
First of all, thank you for the answers. I did not know about zoo. However,
it seems that none approach can do what I exactly want (please, correct me
if I am wrong).
Probably, it was not clear in my original question. The CSV files only
contain the performance values. The other two columns (ASSOC
On Thu, May 3, 2012 at 3:36 AM, Mark Leeds wrote:
> Hi Ravi: As far as I know ( well , really read ) and Bert et al can say
> more , the AIC is not dependent on the models being nested as long as the
> sample sizes used are the same when comparing. In some cases, say comparing
> MA(2), AR(1), you
On Thu, May 3, 2012 at 2:07 PM, victor jimenez wrote:
> Sometimes I have hundreds of CSV files scattered in a directory tree,
> resulting from experiments' executions. For instance, giving an example
> from my field, I may want to collect the performance of a processor for
> several design paramet
Sometimes I have hundreds of CSV files scattered in a directory tree,
resulting from experiments' executions. For instance, giving an example
from my field, I may want to collect the performance of a processor for
several design parameters such as "cache size" (possible values: 2, 4, 8
and 16) and
On Thu, 2012-05-03 at 12:09 -0500, Paul Johnson wrote:
> Greetings:
>
> On Thu, May 3, 2012 at 11:36 AM, Brian G. Peterson
> wrote:
> > On Thu, 2012-05-03 at 10:51 -0500, Paul Johnson wrote:
> >> If somebody in R Core would like this and think about putting it, or
> >> something like it, into th
Greetings:
On Thu, May 3, 2012 at 11:36 AM, Brian G. Peterson wrote:
> On Thu, 2012-05-03 at 10:51 -0500, Paul Johnson wrote:
>> If somebody in R Core would like this and think about putting it, or
>> something like it, into the base, then many chores involving predicted
>> values would become mu
On Thu, 2012-05-03 at 10:51 -0500, Paul Johnson wrote:
> If somebody in R Core would like this and think about putting it, or
> something like it, into the base, then many chores involving predicted
> values would become much easier.
>
Why does this need to be in base? Implement it in a package.
Greetings:
I'm still working on functions to make it easier for students to
interpret regression predictions. I am working out a scheme to
more easily create "newdata" objects (for use in predict functions).
This has been done before in packages like Zelig, Effects,
rms, and others. Nothing is "e
Hello,
pvshankar wrote
>
> Hello all,
>
> I have a data frame with column names s1, s2, s3s11
>
> I have a function that gets two parameters, one is used as a subscript for
> the column names and another is used as an index into the chosen column.
>
> For example:
>
> my_func <- functio
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