similar to: Errore : requires numeric/complex matrix/vector arguments

Why will this simple statement not work? I think I am following the documentation for if(cond) statements, and I have tried wrapping the cons.expr and alt.expr in {}, I get the same error. There is no example in the help file, and this is not covered in the Introduction to R, SimpleR or other tutorials I have looked into. mxx=max(cpx_list$nMV); mxy=max(trend_list$nMV); if (mxx>mxy) mxy=mxx

Dear R-list, I wish a very happy new year and send you a little question: I have different variables which names are m1, m2, m4, .., m10, ... and want to obtain for example mean of each of them without typing each mean(m1), mean(m2), .... What is the solution for decomposing names in mXX? With my best regards, EA. ============================================ Erik-André SAULEAU SEAIM Hôpital du

Hi all, I''m happy to announce that I''ve completed the first version of my Ajax.RssReader object. It needs some extra''s, but the basic functionality is now available. You can download it from http://www.sayoutloud.com/javascripts/rssreader.js Usage: function myCallbackFunction( rss ) { alert(rss.channel.title); for(n=0; n<rss.items.length; n++) {

Dear Researchers, I wrote two function to fit a circle using noisy data. 1- the fitCircle() is derived from MATLAB code of * zhak Bucher* from the link http://www.mathworks.com/matlabcentral/fileexchange/5557-circle-fit/content/circfit.m 2- the CircleFitByPratt() from MATLAB code of *Nikolai Chernov *from the link

Hi all, I have developed a full featured Windows IAX phone based on LIBIAX library . It is now in a prerelease version (0.9.0) and you can download it for free from my web page: http://www.laser.com/dante or http://www.geocities.com/tdanro Some of the features are: - registering with Asterisk PBX; - can use any audio device as ring device (including PC speaker), independent of the play device;

https://bugzilla.samba.org/show_bug.cgi?id=8666 Summary: --debug=all9 fail Product: rsync Version: 3.1.0 Platform: All OS/Version: All Status: NEW Severity: normal Priority: P5 Component: core AssignedTo: wayned at samba.org ReportedBy: chris at onthe.net.au QAContact: rsync-qa at

Hola, Acabo de calcular tf-idf y me surge una duda. ¿Habría un valor de idf o tf-idf que se considerara como umbral para establecer que una palabra es muy común o no? Los valores de idf en mis datos van entre 0 y 3.78 y los de tf-idf ente 0 y 0.07. Un saludo El Mar, 28 de Abril de 2020, 12:53, Carlos Ortega escribió: > Hola, > Yo de primeras los quitaría para qué otros topics aparecen.

Hi everyone, I have a data frame (d), wich has the results of mosquitoes trapping in three different places. I suspect that one of these places (Local=='Palm') is biased by low numbers and will yield slower slopes in the variance-mean regression over the areas. I wonder if these slopes are diferents. I've looked trought the support list for methods for comparing slopes and found the

Hi, I''m confused about managing field boosting ... I have set the :boost for the :name field in my docs to 10, via :boost => 10 Then I performed a search for ''keith'' over all fields via with *:(keith*), expecting a doc with Keith in the :name field to come out on top. But another doc with Keith mentioned in other fields (:comments, :address) scored higher. I

Buenos días, Estoy realizando un análisis de topic models con el método LDA. En principio, he quitado del análisis las palabras "stopwords" universales. A la hora de ver los topics y sus palabras más frecuentes encuentro que son muy similares y hay palabras que aparecen en todos los topics. Los textos que estoy analizando son opiniones de consumidores sobre una categoría concreta de

Sorry for all the newbie questions. I really appreciate everyone's help today. Okay I've got outgoing and incoming calls working with no echo. yay! Now I'm having an issue with SIP extension to extension calling. Any time I dial another extension it goes right into voice mail. My extensions.conf is pretty small and rough but, here's what I have right now. Most of it was taken

Tf-idf is most used used weighting scheme is easy to understand and has been used in other frameworks like lucene and many other places. okapi bm25(implemented in xapian) is theoretically better/improved measure than tf-idf and i am looking into various other weighting scheme which are there in xapian or can be implemented like TF-ICF(term frequecy inverse corpus frequency),TF-RF(term

Hello Everyone, I am a second year graduate student at IIIT-Bangalore and my interest is in the field of Information Retrieval. I have successfully compiled Xapian from source and have implemented some examples. While going through the project list Weighting Schemes project is the one I was looking to contribute to. So i went through the xapian-core/weight where most of the schemes are already

df is a very large data frame with arrival estimates for many flights (DF$flightfact) at random times (df$PredTime). The error of the estimate is df$dt. My problem is that I want to know the prediction error at each minute before landing. This code works, but is very slow, and dominates everything. I tried using split(), but that rapidly ate up my 12 GB of memory. So, is there a better R way of

Hello guys.I just read up about tf-idf schemes and want to implement it in Xapian (with some frequently used normalizations) as it will also give me a good hang of implementing a weighting scheme before I start working on implementing DFR schemes. I read the following as references and I think Ive understood it well and can write the hack :- 1.)

Hello list. I recently moved to an AD environment. I'm still keeping a samba servers to make my cups-managed printers available to windows users, rather than duplicating configuration with a Windows print service. But I'm facing two problems, probably due to the way we manage AD. First, all my host belong to a Unix-managed DNS domain (msr-inria.inria.fr), not to the windows-managed

Hello, I'm Shivang Bansal, a 3rd year Computer Science Engineering undergraduate at Institute of Engineering & Technology in Lucknow, India. This mail is an expression of my interest for Google Summer of Code program of this year. I want to apologize for getting in so late. Actually I would have contacted earlier, but sudden demise of my Grandfather disabled me in doing so. I am

Hello, Thanks James for the reply. That cleared a few things out. Apologies for replying late because of exams going on. I was going through the previous clustering API to understand how it worked and it seems like the the approach for construction of the termlists which are used for distance metrics use TF-IDF weighting with cosine similarity, which is very similar to the approach I would need

Does anyone know what is the complexity of the "mem2erg" optimization on llvm ir? Is it linear or quadratic? Regards, -Peng -------------- next part -------------- An HTML attachment was scrubbed... URL: <http://lists.llvm.org/pipermail/llvm-dev/attachments/20150817/c3b210f1/attachment.html>

Ah. If FIRE doesn't have something that can show this suitably, then > maybe Parth can advise on access to TREC, as I know he's used some of > them in the past. > ?I can say FIRE is also a reliable source but INEX/TREC are better. INEX can give you free access and TREC is not freely available. I had used INEX for xapian in the past and some details are here: