similar to: Introducing R to statisticians

Dear all, I am a statistician doing research in QSAR, building regression models where the dependent variable is a numerical expression of some chemical activity and input variables are chemical descriptors, e.g. molecular weight, number of carbon atoms, etc. I am building regression models and I am confronted with a widely a technique called Y-RANDOMIZATION for which I have difficulties in

For the record: I **was** trying to be helpful. I simply didn't know whether "I struggled" meant that the OP had done a web search; as Chuck mentioned, when I did one, I found what looked like possibly helpful hits. The OP's hostile response frankly surprised me, but I see no reason to respond in kind. Cheers, Bert Bert Gunter "The trouble with having an open mind is

Thank you Charles Berry for your kind reply. I don't see anything wrong with the word "struggling". I have spent several hours trying various R packages like kernlab and GPfit to use GP to create a binary classification model which produces a prediction interval for each sample. I have been struggling because with all of them you may create a GP classification model but it only

I have kindly asked for help and I am sad to receive such a reply from some on the r-help list. I did google it prior to sending my request, and I could not find any R package which provides GP classification model which produces prediction intervals for each sample. I would be grateful if anybody could inform me about it. Thank you. ________________________________ From: Bert Gunter

For the record please re-read my original message. It is clear, concise, polite and thankful for future help. I received a reply "Google it!". Thank you! Thank you Jeff for your links. I am aware of them. However, they do not point to an R package for GP for binary classification which produces prediction intervals. It seems that r-help is not as it was before. Wish you all the

Dear All, I am struggling to find an R package which contains a function for building a Gaussian Process model for binary classification which may produce prediction intervals for predicted probabilities. I would be grateful if somebody could point me to such package. Thank you very much in advance. DK [[alternative HTML version deleted]]

While a plea about struggling may seem appropriate to you, it is just as content-free as a reply telling you to use Google... and like it or not, that tit-for-tat arises due to frustration with lack of specificity as detailed by Charles. That is, if you are constructive about documenting your issue with a reproducible example and mentioning what you have tried and how it failed, you won't

> On Dec 11, 2017, at 8:06 AM, Damjan Krstajic <dkrstajic at hotmail.com> wrote: > > I have kindly asked for help and I am sad to receive such a reply from some on the r-help list. > > Well, you only said you were `struggling' to find a package. Bert may well have done the Google search himself and found numerous resources on such models including links to R (as I

Google it! "R Gaussian process model binary classification." Cheers, Bert Bert Gunter "The trouble with having an open mind is that people keep coming along and sticking things into it." -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip ) On Mon, Dec 11, 2017 at 4:53 AM, Damjan Krstajic <dkrstajic at hotmail.com> wrote: > Dear All, >

Dear all, Is there any R package which would help in analysing election results between two elections? Does anybody know any good papers which are related to this field? I am a statistician and my main research area so far has been regression and classification modelling. The analysis of two election results is new to me. Thanks in advance. Kind regards DK

hi all for new users, finding asterisk info is unneccesary troublesome. the asterisk.org page has very little information about the product and using google for 'asterisk' is like using google for 'linux'. you get all too many hits that has nothing to do with the product. perhaps the asterisk.org page at least should point to voip-info.org? or perhaps it's time someone rewrote

Hi, Is it possible to keep asterisk from logging exactly everything? I can do the logger rotate and keep the files small enough, but I think it's unneccesary to log exactly all data. File grows by about 5 gb per month! Thanks! Regards, Jan

Dear Colleagues, If you have a need to outsource any coding in R please check the web site of the Research Centre for Cheminformatics in Belgrade, Serbia http://www.rcc.org.yu . We have skilled statisticians experienced in R, fluent in English and with work experience in the West. For more information please check our website http://www.rcc.org.yu/outsourcing.htm or contact me. Kind regards, DK

Hello, We have a system which creates thousands of regression/classification models and in cases where we have only one input variable NaiveBayes throws an error. Maybe I am mistaken and I shouldn't expect to have a model with only one input variable. We use R version 2.6.0 (2007-10-03). We use caret (v4.1.19), but have tested similar code with klaR (v.0.5.8), because caret relies on

Josh Coalson wrote: > --- Christer Palm <palm@nogui.se> wrote: > >> >>I'd be happy to put some effort into making that happen, but after >>having looked at the code as it currently stands I realize that this >>would require some quite substantial changes, and it would probably >>be >>wise to have an open discussion about whether and how such

Chris Lattner wrote: >>I don't grok this error message. Of course, -opt-a and -opt-b both work >>fine in isolation. >> >> > >You're right, this error message is terrible. As it turns out, all of >your passes invalidate all of the other passes, so C doesn't get A (which >is invalidated by B). The problem turns out to be a really trivial bug:

Dear all, I am confused with the behaviour of survfit with newdata option. I am using the latest version R-2-15-0. In the simple example below I am building a coxph model on 90 patients and trying to predict 10 patients. Unfortunately the survival curve at the end is for 90 patients. Could somebody please from the survival package confirm that this behaviour is as expected or not - because I

Apologies for cross-postings. ====================================== First announcement and call for papers ====================================== The 23rd European Meeting of Statisticians will be held at Funchal, capital of the Portuguese island of Madeira, from 13-18 August 2001, under the auspices of the European Regional Committee of the Bernoulli Society. For more information see the

Dear all, I am interested to calculate confidence interval for fitted values in general for non-linear regressions. Lets say we have y=f(x1,x2,..xN) where f() is a non-linear regression. I would like to calculate a confidence interval for new prediction f(a1,..,aN). I am aware of techniques for calculating confidence intervals for coeffiecients in specific non-linear regressions and with them

Hi Everyone, I'm apologize for asking this in the R-general list, but I'm unsure of where else to ask this burning question of mine: Where do statisticians talk on the internet about professional/ career developement/ issues? I've found many a list (much like this one) that specailize in talking about statistics, but not about *being* a statistician. Any pointers to a message