search for: collocinf

Hello, I've put the short version here and if anyone wants to run the code with CollocInfer, I've given the full version in the file "analysis". I come at the question of array attributes and dimnames to try to simplify. In a CollocInfer LS.profile analysis using this array 'Y' constructed as follows: w=rnorm(41,.05) z=rnorm(41,.06) yX<-cbind(w,z) y<...

...tal importance to > > have the penalty matrix be the same magnitude? > > That is to get both matrices in the smooth, i.e, > > SS(f, ?) =[y ? f(x)]^2 + ?*int(x1,x2)[[f''(x)]^2 dx > > to the same size? > > Especially if one is working with an? R > program(CollocInfer) that will only evaluate yhat =X*beta > with appropriate matrices? > > regards, > s > I hope I don't ask a question whose answer is evident;I > haven't been able to see an answer to this question-- how to > coerce the matrices to be the same size-- from the data >...

...11, do.NULL = FALSE, prefix = "Obs.") colnames=c("V","R") varnames=c("one","two") dimnames(data11)<-list(rownames(data11), varnames, colnames) data11a<-as.array(data11, dimnames=dimnames(data11)) The analysis that I would like to do with R(CollocInfer) runs as follows(I print for the sake of introduction here though to run this line of code requires extensive setup) res11a = inneropt(coefs, times=times, data=data11a, lik=lik, proc=proc, pars=spars, in.meth='nlminb', control.in=control.out) The response I get is Error in 'colna...

Is there some reason why > (1:2)+(1:3) [1] 2 4 4 Warning message: In (1:2) + (1:3) : longer object length is not a multiple of shorter object length can't be made into an error? I realise it was there in S-PLUS, but since it produces a warning there can't be many examples on CRAN or Bioconductor using it, and I can't think of any situation where it would be used deliberately.