search for: simulaneous

...use the DRB server or not. One other useful piece of information: my site has 1 (and only 1) admin user, and he is the only one that does any C, U or D (of "CRUD")--visitors to my website will only ever read the models, so there should never be a time where multiple people will be making simulaneous changes that need to be indexed. Thanks, Myron -- Posted via http://www.ruby-forum.com/.

Dear R-experts! I have y(x) data, dim(y) == dim(x) == c(2000, 2) I'd like to fit them with nls: fit.result <- nls ( y ~ f(x, p1, p2, p3), start = list(p1 = ... , p2 = .. , p3 = ..) ) Actually I want to fit y[,1] ~ x[,1] and y[,2] ~ x[,2] *simulaneously*, with the same parameters set {p1, p2, p3}. I tried to feed R tha above formula, R errors with: >> Error in qr.qty(QR, resid) : qr and y must have the same number of rows I'm sorry, but I don't understand anything about 'qr'.. :-( So, is it posiible to decide my proble...

Am 14.06.2020 um 17:05 schrieb Antony Stone: Hi Antony, > You mean that the Thomson phone is registering to Deutsche Telekom? > > I thought it was registering to your Asterisk server. Sorry, I didn't read correctly your test 2b... Normally my Thomson phone is registering to my Asterisk server. I tried to register the Thomson phone directly to Telekom's server, to check if the

...it. Good test / check. > 4) The problem happens *only* on active call, not by voicemail. So, only when there are two SIP clients active on each side of the Asterisk server... > 4a) To test it I read a text and my partner just listen it, and then he > read a text and I listen it. *No* simulaneously speak! But, what were the results - each of you could hear the other perfectly well? This sounds interesting - more ideas below. > 5) A *single call* (since I couldn't reproduce it anymore), made using > my Android phone as SIP-client connected to my Asterisk, had not the > proble...

....treatment", "contr.poly")) fit.contrast(reg2,x,c(-1,0,0,1)) # g4 vs g1 estimate: 3.067346 for x2=0 options(contrasts=c("contr.sum", "contr.poly")) fit.contrast(reg2,x,c(-1,0,0,1)) # g4 vs g1 estimate: 3.067346 for x2=0 The question is: How could I contrast simulaneously in global terms (not intercept and slope separately) if there are differences among category 1 vs category 4 but adjusting for a continuous variable? Or it is not possible to do so, and I have to contrast both (difference of intercepts and difference of slopes separately) and obtain a global conc...

...directly to the server of Deutsche Telekom. 3) Traffic shaping seems not to be the problem, too, since I tried to deactivate it. 4) The problem happens *only* on active call, not by voicemail. 4a) To test it I read a text and my partner just listen it, and then he read a text and I listen it. *No* simulaneously speak! 5) A *single call* (since I couldn't reproduce it anymore), made using my Android phone as SIP-client connected to my Asterisk, had not the problem. Any other try to call someone using my mobile phone via SIP had the problem. I could *not* test connecting to the server of Deutsche Tel...

...f Deutsche Telekom. > 3) Traffic shaping seems not to be the problem, too, since I tried to > deactivate it. > 4) The problem happens *only* on active call, not by voicemail. > 4a) To test it I read a text and my partner just listen it, and then he > read a text and I listen it. *No* simulaneously speak! > 5) A *single call* (since I couldn't reproduce it anymore), made using > my Android phone as SIP-client connected to my Asterisk, had not the > problem. Any other try to call someone using my mobile phone via SIP had > the problem. > > I could *not* test connecting...

Dear All, I was looking for the color index in?image function,?such as from topo.colors(n) and etc. but still never found it. For instance, from the help menu. ########################################### # Volcano data visualized as matrix. Need to transpose and flip # matrix horizontally. image(t(volcano)[ncol(volcano):1,]) # A prettier display of the volcano x <- 10*(1:nrow(volcano)) y