search for: discr

Hi, I have 2 g729 licences - what I want to do is use g729 by default but if I get more than 2 calls at a time, use gsm for the others. So, I put this on all my sip providers: disallow=all allow=g729 allow=gsm However, this just seems to use gsm for everything. If I comment out the gsm line, it then uses g729. I thought it would use the codec's in the order they are allowed - is this

...linear in: lda.default(data[train, ], classes[train]) Is there an easy way to recover from this issue within the MASS package? Or how can I tell how severe this issue is at all? I understand that I shouldn't use lda at all with collinear data and should use "quadratische" (squared?) discr. analysis (by Welch) instead. Or is this wrong? Could I do this in R? Thanks four your help, Till Baumg?rtel ________________________________________ Abos online bestellen. Oder Leser werben und Pr?mie aussuchen. http://www.epost.de/aboservice

...by a logistic regression model using lrm. Everything works fine until I try to run the test for goodness of fit: residuals(type=c("gof")) One needs to specify y=T and x=T in the fit. But I get a warning message when I do that with fit.multiple.impute. a<-aregImpute(~med.hist.err+ med.discr+newLiving+No.drugs+Days.categ+Los+Age+Ward+Sex, n.impute=20, nk=0,data=med.err) ddist<-datadist(Age,No.drugs,Days.categ, Sex, Living, Ward) options(datadist="ddist") fmi<-fit.mult.impute(med.hist.err~Age+No.drugs+Days.categ+Sex+Living+Ward, fitter=lrm, x=T, y=T,a,data=med.err) Erro...

Here are the functions documented in the Blue Book that I found missing in R (ignoring the ones which are obviously outdated). aggregate allocated amatch axes chull clorder cutree cycle date debugger dget discr faces interp l1fit labclust lag loglin monthplot mstree mulbar napsack odometer persp plclust plotfit rep.int restore rreg sabl sablplot set.seed smooth sort.list Stable stars starsymb storage subtree symbols tempfile tslines tsmatrix tsplot tspoints twoway unlink usa xor In some detail: aggr...

...gt; void f() { > if (..) > G('c', 'd'); > > while ( .. ) > G('a','b'); > } > > After perf sampling, a lot of samples that should have landed in G and > GET_BIT is attributed to the two lines that have G expansion. > Discriminator does not work either for this case. However the last > field of DW_TAG_lexical_block ("Unique ID to identify blocks from a > template function") is unique for all instances of scopes in G and > GET_BIT. Can we use that to get better profile of hot and cold paths > ins...

...\ }; \ } void f() { if (..) G('c', 'd'); while ( .. ) G('a','b'); } After perf sampling, a lot of samples that should have landed in G and GET_BIT is attributed to the two lines that have G expansion. Discriminator does not work either for this case. However the last field of DW_TAG_lexical_block ("Unique ID to identify blocks from a template function") is unique for all instances of scopes in G and GET_BIT. Can we use that to get better profile of hot and cold paths inside macro? If not, a...

I am looking for a "multiple discriminant analysis" function It seems to be called DISCR in Splus, but I can't find it in R, and R-packages. Thank for your help -- Anne BADEL-CHAGNON Email:badel at urbb.jussieu.fr Equipe de Bioinformatique Mol?culaire, Universite Paris 7 Tour 53, 1er etage, case 7113 Tel : 01.44...

...kmeans > 3. Canonical correlations (is this ever used?) > cancor > 4. Scaling > cmdscal, sammon, isoscal > 5. Graphics > (Optimal) profile plots > biplots > stars etc > A bunch of Michael Friendly's stuff converted from SAS > 6. Discriminant analysis > discr (a real one which takes prior probs and returns posterior > ones) > I would also like to use the object facility so that printing, > plotting etc is done with generic functions; e.g. plot(prcomp(x)) > should produce a scree plot, coef(prcomp(x)) shou...