On Thu, 2012-02-09 at 14:52 +0100, Milan Bouchet-Valat wrote:
> Le jeudi 09 février 2012 à 15:31 +0200, Kari Ruohonen a écrit :
> >
> > And then I am trying to run the classifier with:
> >
> > nb.model<-AS(class~.,data=ex,
> > co
Hi,
I am trying to replicate a training of AttributeSelectedClassifier with
CFsSubsetEval, BestFirst and NaiveBayes that I have initially done with
Weka. Now, I am trying to use RWeka in R.
I have a problem of passing arguments to the CfsSubsetEval, BestFirst
and NaiveBayes. I have first created a
On 26/10/11 12:10, Achim Zeileis wrote:
On Wed, 26 Oct 2011, Kari Ruohonen wrote:
Hi,
I wonder if predict.gam is supposed to work with family=negbin()
definition? It seems to me that the values returned by
type="response" are far off the observed values. Here is an example
outpu
Hi,
I wonder if predict.gam is supposed to work with family=negbin()
definition? It seems to me that the values returned by type="response"
are far off the observed values. Here is an example output from the
negbin examples:
> set.seed(3)
> n<-400
> dat<-gamSim(1,n=n)
> g<-exp(dat$f/5)
> dat$
es to
the linux location so that when run in windows the executables in
windows will be used?
2) Is the hard coding of the location of Tisean executables to the
workspace image deliberate and necessary?
Many thanks,
Kari Ruohonen
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R-help@r-project.o
Hi,
I a trying to compute scores for a new observation based on previously
computed PCA by PCAgrid() function in the pcaPP package. My data has
more variables than observations.
Here is an imaginary data set to show the case:
> n.samples<-30
> n.bins<-1000
> x.sim<-rep(0,n.bins)
> V.sim<-diag(n.bi
On Fri, 2010-10-08 at 14:19 +0100, Ted Harding wrote:
> On 08-Oct-10 12:44:12, Kari Ruohonen wrote:
> > Hi,
> > I wonder if this is something on my machine locally or R in general.
> >
> > When I do the following:
> >> plot(c(0,1),c(0,1),main=expression(paste(
Hi,
I wonder if this is something on my machine locally or R in general.
When I do the following:
> plot(c(0,1),c(0,1),main=expression(paste(symbol("D"),"D",sep="")))
I get a plot with a title having uppercase delta followed by "D". But in
the following
> pdf(file="deltaTest.pdf")
> plot(c(0,1),
int 1 2
> $ d: int 11 12
> $ e: int 13 14
> > merge(df1,df2)
> a b c d e
> 1 1 1 4 11 13
> 2 2 2 5 12 14
> > merge(df1, df2, all=T)
> a b c d e
> 1 1 1 4 11 13
> 2 2 2 5 12 14
> 3 3 3 6 NA NA
> >
>
> 2009/9/18 Kari Ruohonen :
> &
Hi,
I have faced a problem with the merge() function when trying to merge
two data frames that have a common index but the second one does not
have cases for all indexes in the first one. With usual variables R
fills in the missing cases with NA if all=T is requested. But if the
variable is a matri
methods
base
other attached packages:
[1] MASS_7.2-44
regards, Kari Ruohonen
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, Prof Brian Ripley wrote:
> On Wed, 31 Oct 2007, Kari Ruohonen wrote:
>
> > Hi,
> >
> > I get the following error message when trying to use the display
> > function on the ARM package:
>
> You seem to mean 'arm' not 'ARM'.
>
> &
Hi,
I get the following error message when trying to use the display
function on the ARM package:
> display(model)
Error in .Internal(round(x, digits)) : no internal function "round"
Looks like some kind of mismatch between the ARM package and some
others? Can I somehow get around it? I have lea
Hi,
I have R 2.6.0 with updated lme4 and Matrix packages, and I am trying to
fit a nonlinear multilevel model. I get the following error message:
Error in nlmer(f ~ grModel(x, w, Tmin, Tmax, Topt, kopt, m) ~ kopt |
flat, :
gradient attribute of evaluated model must be a numeric matrix
and I
ook.
The model without fixed effects covariates runs well but how to tell
nlmer to include Type and Treatment similar to the nlme model on p. 374
in the PB2000 book? Or is this something that has not been implemented
yet?
regards,
Kari Ruohonen
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