With help from Dirk Eddelbuettel we found that I needed to explicitly
install libatlas-base-dev. After doing this everything worked with no
further fuss.
Best Regards,
Ron
On 11/13/2010 11:10 AM, Ron Burns wrote:
I just dumped Vista off a laptop and installed Ubuntu 10.10 (latest
and there is no Rlapack.so The
links look OK.
Should I be linking to static libs and if so they do not seem to on my
machine anywhere. ( a "find . -name "*f77blas*" (or on atlas) turned up
so's only)
I am at a loss as to where to go from here.
Thank you all for your con
Hi all,
Can anyone tell me for what the kernlab ipop return value dual is? How
does it relate to the solution for a Support Vector Machine solution?
I am trying to use the ipop solver in my (toy) example of a Support
Vector Machine and I am noting that the bias (essentially the offset for
th
Hi all-
I have a lot of small (xml) data files that are saved by classification
in directories named in accordance with the classification. I would like
to zip up these directories and include the zipped file as part of the
data in a package (which I know how to do.)
Are there R functions fo
Hi all-
Is there an R function that returns the directory in which a package has
been installed?
Thanks
Ron
--
R. R. Burns
Physicist (Retired)
Oceanside, CA
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Peter-
I use emacs and ESS. Google r ess emacs and check out the first few hits.
I use a split screen with the R file to edit on the left and get the R
output on the right. Single line commands are executed with C-c C-n and
selected regions are executed using C-c C-r as well as a bunch of oth
Vaupo- I think that
pmvnorm(lower=-Inf*c(1,1),upper=c(2,3),corr=sigma)
does what you want.
Ron
Vaupo wrote:
Hi,
I´ve got a problem with using the pmvnorm function.
For example ,if i assume a bivariate normal distribution with mean=(0,0) and
sigma=(1,0.5,0.5,1)
how do i generate the proba
tribution with Figure 8.6
plot(log(Zw),log(Zs),pch=20)
### Very different
The above seems to be quite straightforward and I am at a loss for what
is going wrong. Perhaps someone can get me pointed in the right
direction. Thanks in advance for your consideration and help.
Regards
Ron
Here is what I do:
R> library(fBasics)
R> ts<-dummyDailySeries(x = rnorm(365), units = NULL, zone = "",
FinCenter ="")
R> class(ts)
[1] "timeSeries"
attr(,"package")
[1] "timeSeries"
R> (s <- as.character(time(ts)[1]))
[1] "1970-01-01"
R> class(s)
[1] "character"
tradenet wrote:
I added
least some of my many tries should
have converged.
Ron
Liviu Andronic wrote:
> Hello,
>
> On 7/1/09, Ron Burns wrote:
>
>> In trying to fit garch models in above environment. I am getting
>> "reasonable" fitted coefficients, but the fitobj...@fitted are all
Dear all-
Package /fGarch/ version 2100.78 in R version 2.8.1 (2008-12-22)
running on linux 2.6.22.9-91.fc7
In trying to fit garch models in above environment. I am getting
"reasonable" fitted coefficients, but the fitobj...@fitted are all the
same. This is true even for the help page example
Hi all-
I am trying to use the time function for ts class objects and do not
understand the return value. I want to use it to set up a time trend in
arima fits. It does not seem to return a correct linear sequence that
matches the underlying time series. I am running:
R version 2.8.1 (2008
Katie-
I think you can calculate it easily in R using the definitions:
AIC<- -2*LL + 2*K
AICc<-AIC + 2*K*(K+1)/(n-K-1)
where LL is the logLik, K is the the number of parameters in the fitted
model, and n is the number of observation, so if you know AIC then it is
easy to calculate AICc
Ron
Dear all-
I am have trouble in using the model="ht" option in function plm from
the plm library. I am using
Package: plm Version: 1.1-1; R version 2.8.1 (2008-12-22) running on a
FC-8 linux machine.
Here is what I am trying to do:
##--
I want to set up a model with a formula and then run dynlm(formula)
because I ultimately want to loop over a set of formulas (see end of post)
R> form <- gas~price
R> dynlm(form)
Time series regression with "ts" data:
Start = 1959(1), End = 1990(4)
Works OK without a Lag term
R> dynlm(gas ~
I am having trouble understanding (i.e. getting) confidence intervals from
the survey package. I am using R version 2.8.1 (2008-12-22) and survey
package (3.11-2) on FC7 linux. To simplify my question I use an example from
that package:
R> data(api)
R> dclus1<-svydesign(id=~dnum,
is the results in column Standard Error that I am looking for from
lme4 (or perhaps another R mixed effects package)
or a pointer to the method for calculating them.
Thanks in advance for any help.
Ron Burns
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I am using R 2.7.0 on a linux platform.
I am trying to reproduce a 2002 example using lme from the nlme library.
I want to change the otimizer from the default (nlminb) to optim.
Specifically, this is what I am trying to do:
R> library(nlme)
R> library(car) # for data only
R> data(Blackmoor) #
I have just started to learn R on linux in an X-terminal "command line"
environment at the R prompt ">". When I try to run a demo it just races
through all the steps and graphics leaving me with only the last few
commands and results in the terminal window and a window with the last
graphic.
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