alpha:]]+")
importFrom("stats", "optim")
import(gtools)
importFrom("gtools", "defmacro")
Any help would be greatly appreciated
Ruben
--
Ruben H. Roa-Ureta, Ph. D.
Consultant, ORCID ID -0002-9620-5224
Center for Environment and Water, Research Institute,
King Fa
Most numerical methods crash, but CG and spg often, and BFGS, bobyqa,
newuoa and Nelder-Mead sometimes, do yield good results (all numerical
gradients less than 1) after 1 day or more running in a normal 64 bit
PC with Ubuntu 16.04 or Windows 7.
Ruben
--
Ruben H. Roa-Ureta, Ph. D.
Consultant
I'd be happy to find
collaborators who can e.g. fill in my knowledge gaps on metadata and
ontologies.
https://github.com/rubenarslan/codebook/issues
Best,
Ruben
--
Ruben C. Arslan
Center for Adaptive Rationality
Max Planck Institute for Human Development
Berlin, Germany
https://www.mpib-ber
I did the same transition, facing the same issues, so I settled for
installation of RKWard. This pretty much reproduces my previous experience with
Tinn-R and the Rgui.
HTH
Ruben
Ruben H. Roa-Ureta, Ph. D.
Senior Scientist,
Center for Environment and Water
does not
support to analyse the data with random effects. I saw that your question
is from 2012, but you still did not receive a public answer. Do you have
one by now, or did you find a solution for this problem on your own?
Best regards,
Ruben
Op zondag 3 juni 2012 17:03:21 UTC+2 schreef
mary, we see that I only have 1 beta which is equal to
1.28. I guess I made mistakes in specifying the model description, but I
can't find where. Any advices would be welcome.
With regards,
Phil
You may have covariates in your data but your model (model.5) is set up
as a model without covariate
f you use optimx (from package optimx) as your wrapper, you can
check the Karush-Kuhn-Tucker (KKT) conditions, and try several numerical
methods (not just CG) in one go.
HTH
Ruben
On 6/28/2012 12:54 PM, nata...@orchidpharma.com wrote:
Dear list-members,
I have done optimization of 3 paramete
al Sum of Squares: 386
> Multiple R-squared: 0.79176
> exactly as expected.
> Which is your system? (please post the output of Sys.info) although
> I'd be surprised if this were system dependent!
>
> You might also update the package to the last version if it isn't
GLS", then you should use 'plm(yourformula, yourdata,
> model="random")' instead, and you'll get the standard RE model.
>
> Best wishes,
> Giovanni
>
> Giovanni Millo, PhD
> Research Dept.,
> Assicurazioni Generali SpA
> Via Machiavelli 4,
> 34132 Trieste (Italy)
When using the PLM package (version 1.2-8), I encounter the probem that
calling the FGLS estimator evokes strange behavior, when choosing the
"random" effects model. After calling the PGGLS function to estimate FGLS,
PLM gives me a warning, stating that the "random" model has been replaced
with the
te version of R, which is not my case. Please correct me if I'm mistaken.
I just ended up installing rjags 2.1.0-6 manually from the terminal and
everything is working fine now.
Regards,
Ruben
- Original Message -
From: "Prof Brian Ripley"
To: "Ruben Garcia Berasategui"
jags.1.dylib
Referenced from:
/Library/Frameworks/R.framework/Resources/library/rjags/libs/i386/rjags.so
Reason: image not found
Error: package/namespace load failed for 'rjags'
Any help regarding how to solve this problem would be greatly appreci
ssage
> datavar<-read.csv("dataset_readingTests.csv")
> cor(datavar)
Error in cor(datavar) : 'x' must be numeric
The funny thing is that when I tried to do the same example using R 2.10.1, it
worked fine.
Any ideas regarding how to solve this prob
advance,
Ruben Cabrera
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
Hello Again:
Let me answer myself because I already solved my problem:
I found the file "...R\R-2.10.0\Rprofile.site" and used
options(help_type="html").
Thanks.
Ruben Cabrera
On Thu, Nov 26, 2009 at 7:41 PM, Ruben Cabrera wrote:
> Hello:
>
> I´m trying to chang
advance,
Ruben Cabrera
__
R-help@r-project.org mailing list
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
Dear colleagues:
I'm very interested in Rserve because I'm trying to model (time
series) remotely using a terminal (Windows XP) over a database in a
server (Windows Vista) by internet.
My first question: Is Rserve the solution to work remotely with R (for
time series analysis) with databases?
If
data and write the
> loglike function and then optimize.
> regards
I suggest you define a function with the process model and the likelihood
and then use nlm to minimiza the negative log-likelihood. See the examples
at the end of the nlm help.
HTH
Ruben
__
Hello,
I ran the coxph model and everything worked fine. When I extract the
output from the basehaz(y) function and was wondering if that baseline
is cumulative or not.
I then do:
F(t,t+1)=1-exp(h_0(t+1) exp(coeff(1)*covariate(1)+...))
Does this give me the probability of death from t to t+1 (in
Hi,
My data has time series for different variables and I want to predict
"ctw" with the value of each other variable at that point in the series.
I have run a logistic regression:
logreg <- glm(ctw ~ age + OFICO + ... + CCombLTV, data=mydata,
family=binomial("logit"))
And I am trying to get a plo
Hi,
I was trying to plot the logistic regression from a regression "logreg"
I just ran.
I downloaded the "car" package from the R website and went to Packages
-> install package from local zip file
I checked in my library file and the package is there. I restarted R.
I then ran the command:
reg.li
of geoR, and yet the current version
fails.
I have tried in Windows Vista and Windows XP (I haven't tried in Linux
systems) and the problem occurs in both systems.
Below I show the issue with simulated data.
Is it a geoR bug?
Does anybody know a solution?
Thanks in advance
Ruben
x <- rnor
> Hi,
>
> I am doing a very informal presentation for my office about R capabilities
> to deal with and analyze spatial data, display data and maps, and
> connections with GIS. I've used in my presentation info from the CRAN, the
> spatial Task view, and the more striking graphics examples from
> h
use the na.rm=TRUE argument of max().
If the standard errors are very different, you can multiply the quantity
evaluated for cex with a positive constant, say
u <- rnorm(10,2,3)
v <- rnorm(10,5,4)
se.u <- runif(10,1,4)
se.v <- runif(10,4,7)
x <- 2:11
w=2.5
plot(x,u,cex=w*(1/se.u
> Hi again. I believe that I described the things bad before.
>
> I want to make the analysis with a sample data (train.set) of dataset for
> later see if the predictions adjust to the rest of data non selected with
> the sample train.
>
> Then, of the same form in glm:
>
> library(nnet)
> net <-
> Rolf,
>
>
> On Wed, 2008-04-09 at 10:57 +1200, Rolf Turner wrote:
>> On 9/04/2008, at 10:30 AM, Phil Rhoades wrote:
>>
>> > People,
>> >
>> > Say a particular measure of an attribute for individuals in different
>> > populations gives a set of overlapping normal distributions (one
>> > distributi
To read in a few columns you can can also use something like,
reduced.data<-do.call("cbind",scan(file='location/name',what=list(NULL,NULL,NULL,NULL,NULL,NULL,NULL,0,NULL,0,NULL,NULL,NULL),flush=TRUE))
where only columns 8 and 10 where saved in your object.
Rubén
__
Ligges, y hay varios más respecto del mismo tema.
HTH
Ruben
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and provide commented, mi
> Dear all,
>
> How can I fit a power model in R.
>
> Thanks in advance,
>
> miltinho
>
>
>
> para armazenamento!
>
> [[alternative HTML version deleted]]
Try the approach below with the lognormal distribution for the data. The
data is real.
Rubén
y<-c(2841,1151,1579,1491,1306,2294,1781,1
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