similar to: Dial plan problems with realtime extensions ...

Dear R people, I have to deal with the output of a function which comes as a matrix of vectors. You can reproduce the structure as given below: x <- list(c(1,2,4),c(1,3,5),c(0,1,0), c(1,3,6,5),c(3,4,4,4),c(0,1,0,1), c(3,7),c(1,2),c(0,1)) data <- matrix(x,byrow=TRUE,nrow=3) colnames(data) <- c("First", "Length", "Value") rownames(data)

Hi, Realtime SIP and Extensions are working fine but facing some problems with Voicemail. Added an entry to extconfig.conf voicemail => mysql,asterisk,voicemail_users Created the corresponding table and an entry for mailbox 201. This is also reflected in the CLI as shown below. CLI> realtime load voicemail mailbox 201 Column Name Column Value

Dear R users: I just got confused some R code used in linear mixed model~ example,two factors,A, B,C,A is fixed ,B,C are random,and B is nested in C,if I wannt to use linear mixed model,are the following code correct for each case? case1:want to know random effect of B, case1<-lme(y~A*B*C,random=~B|C) where "B|C" stand for what?,mean B is nested in C? case2: how to wirte

Hi all, I'm building a plot of the values in tmeant (below) against positions 1 to 5, using matplot. tmeant looks like this: case1 case2 pos1 861.8466 818.5909 pos2 961.2841 976.3466 pos3 878.6080 1262.8523 pos4 950.8011 1129.6080 pos5 968.1080 1063.3920 I also have lower (object tl) and upper (object tu) bounds on the confidence intervals as follows: tl: pos1

Sadly, we have discovered another line level interrupt race condition in Xen-4.1. The result was that an outstanding un-eoi''d interrupt at the IO-APIC resulted in the mptsas controller offlining the root filesystem. This is now two separate IO-APIC bugs found recently. 1) Cisco C210 M2 server - EOI Broadcast Suppression, io_apci_ack=old 2) Dell R710 - No EOI Broadcast Suppression,

Hi, I'm trying to install asterisk on Dell power edge 2800 running Fedora core 3. I don't have have any zaptel cards, so trying to use ztdummy. /dev/zap is successfuly created... but I see some problems while starting asterisk ... chan_zap fails to load. Can somebody please help me in overcoming this problem. I was able to run asterisk on other normal PCs running Fedora core 3. Is this

Thanks Vamsi I have not been able to locate pwlib - 1.6.6 or openh323 1_13_5. I found the latest versions through sourceforge and I found some older versions on another site, but not these versions. This has been quite frustrating. Anyway, I think by using the asterisk-oh323 branch under channels in the asterisk source tree I will have more luck. At present it seems to compile successfully, but

Hello, I've some problem with the ggplot2. Here's a small example: --8<-- library(ggplot2) molten <- data.frame(date=c('01','01','01','01', '02','02','02','02'), channel=c('red','red','blue','blue',

I''m a newbie and I''ve been trying to figure this out for a little while now, hopefully someone can point me in the right direction. case1 <div id="new"> </div> case2 <div id="new"><div id="item1"></div></div> <div id="new2"><div id="item1"></div></div> With RJS in

Hello, Everyone. I have a question about llvm's "Combine redundant instructions(instcombine)" pass. I have tested instcombine pass by writing the following three test cases. But, CASE3 is not optimized as I expected. Is this behavior expected? The version of llvm is: clang version 5.0.1 (tags/RELEASE_501/final 325232) Option of clang command is: clang -O1 a.c -S -emit-llvm

Dear R users: I am having difficulty to place x-axis location alternatively top/bottom side in Lattice plot, which is composed of seven-column as following: E1 E2 E3 E4 E5 E6 E7 Case1 -505.85 -75.32 494.52 -12.31 -98.96 50.34 -48.62 Case2 -50.46 -60.97 68.32 -8.66 -51.77 25.17 -26.60 Case3 -253.00 -54.99 243.48 -8.76

Dear list, Hello to everybody, I´m interested in finding a package for statistical analysis of binary data, I have a matrix with the following structure: Case1 Case2 Case 3 ....... CaseX Control1 Control2 Control3 ....... ControlY Pep1 1 0 1 1 0 0 0 1 Pep2 1 1 1 1 1 0 0 1 Pep3 0 1 1 1 1 0 0 1 ... Pepz 1 1 1 1 1 0 0 1 I would like to know some R package to calculte similarity matrix or

>that image under B: or X: or whatever. This will allow us to cross the >size limit of 2.88MB floppies. Ofcourse when I say "mount" I dont expect >memdisk to mount it, just that set things up so that DOS mounts it there. I'm using a 5MB image which emulates floppydisk. label test kernel data/memdisk append initrd=data2/test.img c=80 h=8 s=18 floppy problems are

It try to put all basicblock in a switch in a loop, like that for example: int main() { if(something) somethingelse: else another; } become: int main() { while(true) { switch(var) { case 0: if(something) var+=1; else: var+=2; break; case1:

Hi R users, Is is possible for me to use the try function with boot? I would to do the bootstraping with a nonlinear model(it works well when R < 1000). But it does not work very well (when R is large) thus I try to use "try" to resolve. I put the try function in two cases: case1: put the try in front of the boot > c1.try<-try(boot(c1data, statistic = c1.fun,

Dear friends. I use nls() and encounter the following puzzling problem: I have a function f(a,b,c,x), I have a data vector of x and a vectory y of realized value of f. Case1 I tried to estimate c with (a=0.3, b=0.5) fixed: nls(y~f(a,b,c,x), control=list(maxiter = 100000, minFactor=0.5 ^2048),start=list(c=0.5)). The error message is: "number of iterations exceeded maximum of

> Then why does the Release Note say > " the operation is guaranteed to not overflow". It means that the person who wrote the IR has guaranteed that there's no overflow (by some means) so LLVM can assume it during optimisation. This guarantee might come from doing explicit checks before executing the add/sub; or perhaps from performing the operation after a sext so that the

Good morning, I am analyzing a dataset composed by 364 subjects and 13 binary variables (0,1 = absence,presence). I am testing possible association (co-presence) of my variables. To do this, I was trying with cluster analysis. My main interest is to check for the significance of the obtained clusters. First, I tried with the pvclust() function, by using method.hclust="ward" and

Hi All, Is it possible to go beyond 250 concurrent ZAP channels with some tweaking or workaround ? Meetme uses zap channels, so we could have a max of 250 conference ports. Is it possible to higher this ? "An Asterisk system can only handle a *max. of 250 concurrent ZAP channels*. This is due to the design limit (255) within the ZAP channel driver." Thanks, ~Vamsi -------------- next

Hello users, i have successfully installed the cepstral voice and in the text only mode its working fine when i swift applicaiton in dtmf mode like exten =>111,1,Swift(hello user| 5000|1) exten =>111,n,NoOp(dtmf is ${SWIFT_DTMF}) exten => 111,n,Hangup() case1: when i am listening to the hello user prompt if i press any key 1,2,3,4,5,6,7,8,9,0,*,# i am getting the ${SWIFT_DTMF } value