ions stay the same. The compiled versions f2, f6 are the
quickest.
Berend
> A.K.
>
> - Original Message -
> From: David L Carlson
> To: 'arun' ; "'Doran, Harold'"
> Cc: 'R help' ; 'David Winsemius'
>
> Sent: Friday, Decembe
I found mixed (and not always easy to predict) results from the
byte-code compiler. It seems necessary to test whether it helps. On some
calculations, it is definitely worthwhile.
JN
On 12-12-07 01:57 PM, Berend Hasselman wrote:
On 07-12-2012, at 19:37, Spencer Graves wrote:
On 12/7/2012
] 0.7531899 0.4740685 0.7576587
identical(res,eta)
#[1] TRUE
A.K.
- Original Message -
From: "Doran, Harold"
To: David Winsemius
Cc: "r-help@r-project.org"
Sent: Friday, December 7, 2012 10:14 AM
Subject: Re: [R] Vectorizing integrate()
David et al
Thanks, I
HI,
I can see ?runif(), ?rnorm() without a set seed.
A.K.
- Original Message -
From: David L Carlson
To: 'arun' ; "'Doran, Harold'"
Cc: 'R help' ; 'David Winsemius'
Sent: Friday, December 7, 2012 11:54 AM
Subject: RE: [R] Vectorizi
On 07-12-2012, at 19:37, Spencer Graves wrote:
> On 12/7/2012 9:40 AM, Berend Hasselman wrote:
>>>
>>> benchmark(eta1 <- f1(X, B, x, sem1), eta2 <- f2(X, B, x, sem1), eta3 <-
>>> f3(X, B, x, sem1),
>> + eta4 <- f4(X, B, x, sem1), eta5 <- f5(X, B, x, sem1), eta6 <-
>> f6(X, B, x, sem1
On 12/7/2012 9:40 AM, Berend Hasselman wrote:
On 07-12-2012, at 18:12, Spencer Graves wrote:
Has anyone suggested using the byte code compiler "compiler" package? An analysis by
John Nash suggested to me that it may be roughly equivalent to vectorization; see
"http://rwiki.sciviews.or
On 07-12-2012, at 18:12, Spencer Graves wrote:
> Has anyone suggested using the byte code compiler "compiler" package?
> An analysis by John Nash suggested to me that it may be roughly equivalent to
> vectorization; see
> "http://rwiki.sciviews.org/doku.php?id=tips:rqcasestudy&s=compile
65210 0.2378657 0.3492133
identical(eta, res)
[1] TRUE
---
David C
-Original Message-
From: arun [mailto:smartpink...@yahoo.com]
Sent: Friday, December 07, 2012 10:36 AM
To: Doran, Harold
Cc: R help; David L Carlson; David Winsemius
Subject: Re: [R] Vectorizing integrate()
Hi,
Using Dav
id Winsemius [mailto:dwinsem...@comcast.net]
Sent: Thursday, December 06, 2012 1:59 PM
To: Doran, Harold
Cc: r-help@r-project.org
Subject: Re: [R] Vectorizing integrate()
On Dec 6, 2012, at 10:10 AM, Doran, Harold wrote:
I have written a program to solve a particular logistic regression
problem
using
arun [mailto:smartpink...@yahoo.com]
> Sent: Friday, December 07, 2012 10:36 AM
> To: Doran, Harold
> Cc: R help; David L Carlson; David Winsemius
> Subject: Re: [R] Vectorizing integrate()
>
>
>
> Hi,
> Using David's function:
> fun <- function(u, m, s) 1/ (1
ject.org] On Behalf Of Doran, Harold
> Sent: Friday, December 07, 2012 9:14 AM
> To: David Winsemius
> Cc: r-help@r-project.org
> Subject: Re: [R] Vectorizing integrate()
>
> David et al
>
> Thanks, I should have made the post more complete. I routinely use
> apply
r-help@r-project.org
> Subject: Re: [R] Vectorizing integrate()
>
>
> On Dec 6, 2012, at 10:10 AM, Doran, Harold wrote:
>
> > I have written a program to solve a particular logistic regression problem
> using IRLS. In one step, I need to integrate something out of the linear
half Of David Winsemius
> Sent: Thursday, December 06, 2012 12:59 PM
> To: Doran, Harold
> Cc: r-help@r-project.org
> Subject: Re: [R] Vectorizing integrate()
>
>
> On Dec 6, 2012, at 10:10 AM, Doran, Harold wrote:
>
> > I have written a program to solve a parti
On Dec 6, 2012, at 10:10 AM, Doran, Harold wrote:
> I have written a program to solve a particular logistic regression problem
> using IRLS. In one step, I need to integrate something out of the linear
> predictor. The way I'm doing it now is within a loop and it is as you would
> expect slow
I have written a program to solve a particular logistic regression problem
using IRLS. In one step, I need to integrate something out of the linear
predictor. The way I'm doing it now is within a loop and it is as you would
expect slow to process, especially inside an iterative algorithm.
I'm h
15 matches
Mail list logo
