search for: comparaisons

Hi, I`m not actually asking for a comparaison between the two, I have one on hand and will make up my own mind. But I can't find much info on whether the Snom (370 to be exact) accepts FTP provisioning like the Polycom (but few others) do. Any Snom user can answer this one for me? Mike -------------- next part -------------- An HTML attachment was scrubbed... URL:

Hi! I am doing a lapply and for comparaison and I get that for is faster than lapply. What I have done: n<-100000 set.seed(123) x<-rnorm(n) y<-x+rnorm(n) rand.data<-data.frame(x,y) k<-100 samples<-split(sample(1:n),rep(1:k,length=n)) res<-list() t<-Sys.time() for(i in 1:100){ modelo<-lm(y~x,rand.data[-samples[[i]]])

The lapply loop and the for loop have very similar speed characteristics. Differences seen are almost always due to how you use memory in the body of the loop. This fact is not new. You may be under the incorrect assumption that using lapply is somehow equivalent to "vectorization", which it is not. -- Sent from my phone. Please excuse my brevity. On August 7, 2017 7:29:58 AM PDT,

Hi! I use simtest fonction of multcomp package to compile a Dunnett's test. I have 10 treatments and one control group, so i create a matrix with: m<-matrix(0,10,11) m[1,1]<--1 m[1,2]<-1 m[2,1]<--1 m[2,3]<-1 m[3,1]<--1 m[3,4]<-1 m[4,1]<--1 m[4,5]<-1 m[5,1]<--1 m[5,6]<-1 m[6,1]<--1 m[6,7]<-1 m[7,1]<--1 m[7,8]<-1 m[8,1]<--1 m[8,9]<-1

Dear Jesus, The difference is marginal when each code chunk does the same things. Your for loop does not yields the same output as the lapply. Here is the cleaned version of your code. n<-10000 set.seed(123) x<-rnorm(n) y<-x+rnorm(n) rand.data<-data.frame(x,y) k<-100 samples <- split(sample(n), rep(seq_len(k),length=n)) library(microbenchmark) microbenchmark( "for"

Hello I recently submitted an update of a package, and received error reports from CRAN maintainers concerning the pkg/tests section: > Next time you update, can you please ensure that the .Rout.save files > are generated in English (with LANGUAGE=en set). R 2.12.x will ensure > that the tests are run in English, and it saves a lot of unnecessary > chatter if the reference

Bonjour, elles correspondent ? des donn?es de diff?rents traitements (EU) avec des dates diff?rentes j'aimerai pouvoir faire une comparaison de k moyennes selon ces deux variables date et EU ANOVA ? n facteurs n'est pas la bonne solution je voudrai savoir qu'elles sont les tests qui permettent de r?soudre ce probl?me (?chantillons appari?s) je suis partis sur le test de Mauchley

OK, my last question didn't get any replies so I am going to try and ask a different way. When I generate contrasts with contr.sum() for a 3 level categorical variable I get the 2 orthogonal contrasts: > contr.sum( c(1,2,3) ) [,1] [,2] 1 1 0 2 0 1 3 -1 -1 This provides the contrasts <1-3> and <2-3> as expected. But I also want it to create <1-2> (i.e.

Hi, Where can I find objective reviews of VoIP phones? Somebody out there must have done a comparaison of those phones, unfortunately all I can find at reviews of one phone (without comparing them to others) or obviously biased ones. Also, I'm looking for a good value business phone (for me, but also to resell to my customers). I already asked the questions in the biz mailing list, and got

Dear All, I would like to ask please about how to fix the problem of sending fake ring back tone by asteriskserver when trying to make a call from an extension registered on asterisk to any PSTN number...I made some comparaison between calls made through Asterisk server that generate a fake ring back tone during dialing and other sip proxies that does not generate such tone...I noticed that

Hi, This small mail to share my observation about a recent move of mailboxes between two servers and ask about explanation and/or improvement about UIDL in dovecot. SV1 : Dovecot 0.99.14 / Red Hat Fedore Core 4 SV2 : Dovecot 1.07 / CentOS 5.2 Mailboxes in /var/spool/mail on the twoo servers. Test will be done with outlook express with option "leave message on server" checked. Goal is

Hi, I have been using R for a bit, but never came across this simple issue... So, I wonder if anyone could give me a hint on it. I have calculated a bunch o models and now need to compare them using AIC(). The issue seem to be that I have placed each output in a list object. So, the question is how to convert a string into variable names. Lets say I have all my models in a variables called :

hi, I recently attended one of the ruby meetings that we have in my city. There one of the speaker said that google,amazon .. are working on RoR but still the performance of RoR is not at par with J2EE others.... he meant that though google,amazon working o it they will not bring it as front applications only parts the reason ruby is slow in comparison to other languages.... and in real time