search for: simulaneously

I''m finishing up a rails app that uses Ferret / AAF. I''m using shared hosting provided by railsplayground.com. My app is pretty small and is never going to get much traffic, so I''m going with the cheapest plan. Unfortunately, the cheapest plan doesn''t allow any static processes. I''ve read multiple recommendations to use a DRB server when using ferret

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 problem...

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 > problem....

....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 conclu...

...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 Telek...

...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 to...

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