reassigning and copying?) is also expensive.
Thank you for your help!
On 04/19/2016 11:51 PM, Duncan Murdoch wrote:
On 19/04/2016 3:39 PM, Gaston wrote:
Hello everyone,
I am learning R since recently, and as a small exercise I wanted to
write a recursive mergesort. I was extremely surprised to
some of the functions I used are quite heavy. I would be
grateful if you could give a hint on how to change that!
I hope I made myself clear and wish you a nice day,
Cheers,
Gaston
[[alternative HTML version deleted]]
__
R-help@r-projec
Dear all,
Is it possible to generate AIC or something equivalent for nonlinear
model estimated based on maximum log likelihood l in R?
I used nls based on least squares to estimate, and therefore I cannot
assess the quality of models with AIC. nlme seems good for only mixed
models and mine is not
y done?
Thanks,
-Gaston
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R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
kages that unable to install", but still same error message
came up.
error in normalizePath(path) :
path[1]: no such file to load
Any help would be greatly appreciated.
Odette
On Fri, Jan 23, 2009 at 7:15 PM, Uwe Ligges wrote:
>
>
> Odette Gaston wrote:
>
>> Hi Uwe
Hi Uwe and all,
Error message was:
error in normalizePath(path) :
path[1]: no such file to load
Many thanks,
Odette
On Fri, Jan 23, 2009 at 1:22 AM, Uwe Ligges wrote:
>
>
> Odette Gaston wrote:
>
>> Hi folks,
>>
>> I am currently having the problem with using
Hi folks,
I am currently having the problem with using R 2.8.1 that I cannot install
some of packages from CRAN or local drive and somebody may be able to help
me.
ex) faraway package and lme4 package. I have downloaded them in my hard
drive as local, but still R was unable to find the package (me
Dear all,
I have a problem with accessing class attributes. I was unable to solve this
yet, but someone may know how to solve it.
I'm trying to extract some information from the summary, and Akaike
weight has the desired value.
Object for a model fitted using the glmmML function from the
glmmML pa
Hi Graham,
Appreciate for your help, but actually I've already looked at this website,
and wasn't success yet. 1st, I cannot run "*W = exp(-0.5 * Delta) /
sum(exp(-0.5 * Delta))*" in the R.
> *W <- exp(-0.5 * Delta) / sum(exp(-0.5 * Delta))*
*note: Delta means AIC difference between models.*
**
I
Hi folks,
Wondering how can I generate "Akaike weight" with R? I know the description,
but is there any function to generate by R on the web-site or R library?
I am using GLM or GLMM (family=binomial), so would be appreciated if you
help me.
Thanks for your contributions in advance,
Regards,
Odet
; # put the simulated data in a data.frame
> simulData <- data.frame(
>id = id,
>y = y,
>treat = treat.rep,
>time = time.rep
> )
>
> # fit the model
> library(glmmML)
> fit <- glmmML(y ~ treat * time, data = simulData, cluster = id)
> summary(
Hi everybody,
I am currently working on glmmML() and wish to generate random number to do
some tests, however, glmm was hypothesized the mixed distributions with
normal and binomial in terms of having a random effect. How would you be
able to generate random number in this case? Is there a functi
Dear R users,
I have some data sets and I'd want to test if they are genarated under
different probability functions. That is, some of them by gamma
distribution, exponential one etc.
Could anybody propose me any test (or procedure) to see that.
I search something similar to the normality tests.
Thanks Haris,
That's OK
Martín Gastón
Statistics and Opration Research Department
Public University of Navarre (Spain)
El Vie, 23 de Mayo de 2008, 12:13, Charilaos Skiadas escribió:
> Try results=verbatim instead of results=tex.
>
> Haris Skiadas
> Department of Mathematics and Computer Science
Before call library(package) it is needed install the package. To make
that, select Packages/InstallPkages... choose your nearest mirror and
select the package from the list and accept.
After that you can call library(tseries)
for example
Regards
El Vie, 23 de Mayo de 2008, 9:00, justin bem escr
Dear R users,
I'm working in a brief R-tutorial to a group of students. To make that I'm
using Sweave but I've got two problems:
First, I want show how R operates with the matrix type but, I write in the
.rnw document the code
<>=
matriz <- matrix(vector,nrow=3,ncol=6)
matriz
@
and after compi
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