er, after running the tweedie.R file from that package source
>I am able to use the dtweedie() function, but still I didn't figure
>out a way to do the step (or to get the AIC from the glm command).
>
>Thank you again for your help;
>
>Catarina
>
>
>On 13/08/07
Dear Catarina,
I prefer to leave the AIC value as NA for the tweedie GLM family
because it takes extra time to compute and is only occasionally
wanted. It's easy to compute the AIC yourself using the dtweedie()
function of the tweedie package.
Best wishes
Gordon
At 03:05 AM 14/08/2007, Catari
;
> > unique(targets$Class)
>[1] NormalTumor Tumor_CN Normal_CN
>Levels: Normal Normal_CN Tumor Tumor_CN
> > levels(unique(targets$Class))
>[1] "Normal""Normal_CN" "Tumor" "Tumor_CN"
>
>
>
>-Ori
I'm trying to use trace() on an S4 coerce method, but get the error
Error in bindingIsLocked(what, whereM) : no binding for "coerce"
What am I doing wrong? Example code follows.
(I've googled the R mailing lists for "trace coerce" and "trace
bindingisLocked" without finding anything relevant
Many thanks to Hadley Wickham for pointing out that my question had already
been answered on the R-help list in December, see
https://www.stat.math.ethz.ch/pipermail/r-help/2003-December/041786.html or
http://maths.newcastle.edu.au/~rking/R/help/03b/7525.html
and to Jeff Gentry for pointing out t
Before using winMenuAdd(), is it possible to test whether the menu already
exists? One could use try(winMenuAddItem()) with appropriate arguments, but
is there anything more elegant?
Many thanks
Gordon
__
[EMAIL PROTECTED] mailing list
https://www.stat
gma.res)
> fm <- lme(y~1,random=list(u=pdBlocked(list(pdIdent(~a-1),pdIdent(~b-1)
> v <- sqrt(diag(as.matrix(fm$modelStruct$reStruct$u))[c(1,na+1)])
> v <- fm$sigma * c(v, 1)
> names(v) <- c("Sigma.a","Sigma.b","Sigma.res")
> print(v)
Sigma
Many thanks for help from Peter Dalgaard, Douglas Bates and Bill Venables.
As a result of their help, here is a working example of using lme to fit an
additive random effects model. The model here is effectively y~a+b with a
and b random:
y <- rnorm(12)
a <- gl(4,1,12)
b <- gl(3,4,12)
u <- gl(1
On page 165 of Mixed-Effects Models in S and S-Plus by Pinheiro and Bates
there is an example of using lme() in the nlme package to fit a model with
crossed random factors. The example assumes though that the data is
grouped. Is it possible to use lme() to fit crossed random factors when the
da
I'd like to construct a function is.empty(x) which would work on arbitrary
objects, and would tell me whether the object contains any data. I think
that I can write a function which will recurse down through all the slots
of x (and slots of slots) until it reaches objects of elementary type
(NU
At 04:16 PM 19/02/2003, Robert Gentleman wrote:
It was decided that should not be an error to omit documentation for
a generic function defined in a package (whose sole purpose is to
extend a current function to be generic). It appears that the
implementation of that decision was to treat a
word{models}
---
Regards
Gordon
At 04:16 PM 19/02/2003, you wrote:
On Wed, Feb 19, 2003 at 03:44:31PM +1100, Gordon Smyth wrote:
> Dear all,
>
> I am trying to write a package using formal methods and classes from the
> methods package. I have not been able to get the package to pass rcmd
c
Dear all,
I am trying to write a package using formal methods and classes from the
methods package. I have not been able to get the package to pass rcmd check
without warnings, because rcmd check does not recognize my generic
functions as code objects and therefore queries why they have documen
Dear all,
I make extensive use of the gls function from the nlme library for
microarray data analysis (details described
in
http://bioinf.wehi.edu.au/smawehi/library/smawehi/html/gls.series.html). A
typical fit involves running gls about 15000 times with the same formula,
with different repon
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