similar to: Setting up an outgoing trunk group

Hello, We had an incident recently where a call was in queue for an extended period of time. We use queuemetrics for reporting, and it reports that the call was waiting for 20 minutes. The different thing about it is that the disconnect reason is stated as Timeout. Is there a set maximum time a call will wait in the queue before being automatically disconnected? I tried looking through the code

As part of a project to move a clients Cisco phones to SIP to work with an Avaya system, I'm taking a Cisco 7961 we bought and adding it to our Asterisk setup. Now, I've gotten the firmware files from the site, the latest version is 8.4 which contains the following files: apps41.8-4-3-16.sbn cnu41.8-4-3-16.sbn cvm41sip.8-4-3-16.sbn dsp41.8-4-3-16.sbn jar41sip.8-4-3-16.sbn

Dear R community members I have been struggling on this simple question, but never get appropriate solution. So please help. # my data, though I have a large number of variables var1 <- rnorm(500, 10,4) var2 <- rnorm(500, 20, 8) var3 <- rnorm(500, 30, 18) var4 <- rnorm(500, 40, 20) datafr1 <- data.frame(var1, var2, var3, var4) # my unsuccessful codes nvar <- ncol(datafr1)

On Tue, Dec 01, 2015 at 02:18:49PM -0800, Sinclair Yeh wrote: > v2: > Instead of replacing existing VMMOUSE defines, only modify enough > to use the new VMW_PORT define. > > v3: > Use updated VMWARE_PORT() which requires hypervisor magic as an added > parameter > > Signed-off-by: Sinclair Yeh <syeh at vmware.com> > Reviewed-by: Thomas Hellstrom <thellstrom

On Tue, Dec 01, 2015 at 02:18:49PM -0800, Sinclair Yeh wrote: > v2: > Instead of replacing existing VMMOUSE defines, only modify enough > to use the new VMW_PORT define. > > v3: > Use updated VMWARE_PORT() which requires hypervisor magic as an added > parameter > > Signed-off-by: Sinclair Yeh <syeh at vmware.com> > Reviewed-by: Thomas Hellstrom <thellstrom

On Tue, Dec 1, 2015 at 2:32 PM, Sinclair Yeh <syeh at vmware.com> wrote: > Hi, > > On Tue, Dec 01, 2015 at 02:24:14PM -0800, Dmitry Torokhov wrote: >> On Tue, Dec 01, 2015 at 02:18:49PM -0800, Sinclair Yeh wrote: >> > v2: >> > Instead of replacing existing VMMOUSE defines, only modify enough >> > to use the new VMW_PORT define. >> > >>

On Tue, Dec 1, 2015 at 2:32 PM, Sinclair Yeh <syeh at vmware.com> wrote: > Hi, > > On Tue, Dec 01, 2015 at 02:24:14PM -0800, Dmitry Torokhov wrote: >> On Tue, Dec 01, 2015 at 02:18:49PM -0800, Sinclair Yeh wrote: >> > v2: >> > Instead of replacing existing VMMOUSE defines, only modify enough >> > to use the new VMW_PORT define. >> > >>

Dear R-ers, I feel I am close, but can't get it quite right. Thanks a lot for your help! Dimitri # I have 2 data frames: x<-data.frame(a=c("aa","aa","ab","ab","ba","ba","bb","bb"),b=c(1:2,1:2,1:2,1:2),d=c(10,20,30,40,50,60,70,80))

Hi Gregg. Just wanted to follow up on the solution you proposed. I had to make some adjustments to get exactly what I wanted, but it works, and takes about 15 minutes on our server configuration: temp <- ??????open_dataset( ????????????sources = input_files, ????????????format = 'csv', ????????????unify_schema = TRUE, ????????????col_types = schema( ????????????"ID_Key"

Hi All, I have a whole lot of *.raw files in my working folder and I am doing the same analysis on each of those and want to save all the results in a single file. I am making some mistake here and can't figure out how to solve it. Say, the *.raw files are ABCD.raw, EFGH.raw, IJKL.raw ... The files are of this format ID PHI?? aa1? aa2? aa3 .... 1??? 1???? 1.3?? 2.0?? 1.0 2??? 0????

Hi Thomas, Glad to hear the suggestion helped, and that switching to a `data.table` approach reduced the processing time and memory overhead?15 minutes for one of the smaller datasets is certainly better! Sounds like the adjustments you devised, especially keeping the multicore approach for `make_clean_names()` and ensuring that `ID_Key` values remain intact, were the missing components you

On Tue, Dec 01, 2015 at 02:54:20PM -0800, Sinclair Yeh wrote: > Hi, > > On Tue, Dec 01, 2015 at 02:45:27PM -0800, Dmitry Torokhov wrote: > > On Tue, Dec 1, 2015 at 2:32 PM, Sinclair Yeh <syeh at vmware.com> wrote: > > > Hi, > > > > > <snip> > > > >> > */ > > >> > -#define VMMOUSE_CMD(cmd, in1, out1, out2,

On Tue, Dec 01, 2015 at 02:54:20PM -0800, Sinclair Yeh wrote: > Hi, > > On Tue, Dec 01, 2015 at 02:45:27PM -0800, Dmitry Torokhov wrote: > > On Tue, Dec 1, 2015 at 2:32 PM, Sinclair Yeh <syeh at vmware.com> wrote: > > > Hi, > > > > > <snip> > > > >> > */ > > >> > -#define VMMOUSE_CMD(cmd, in1, out1, out2,

Hi, I am having trouble with syntax for a for loop. Here is what I am trying to do. class=c(rep(1,3),rep(2,3),rep(3,3)) out1=rnorm(length(class)) out2=rnorm(length(class)) out3=rnorm(length(class)) data=data.frame(class,out1,out2,out3) dat.split=split(data,data$class) for(i in 1:3){ sub[i]=dat.split[i] } However, the for loop doesn't work. I want to assign each split to a different

Hello Thomas, Consider that the primary bottleneck may be tied to memory usage and the complexity of pivoting extremely large datasets into wide formats with tens of thousands of unique values per column. Extremely large expansions of columns inherently stress both memory and CPU, and splitting into 110k separate data frames before pivoting and combining them again is likely causing resource

How is the server configured to handle memory distribution for individual users. I see it has over 700GB of total system memory, but how much can be assigned it each individual user? AAgain - just curious, and wondering how much memory was assigned to your instance when you were running R. regards, Gregg On Wednesday, December 11th, 2024 at 9:49 AM, Deramus, Thomas Patrick <tderamus at

Full_Name: Allyson Williams Version: 2.1.1 OS: Windows XP Submission from: (NULL) (203.25.1.208) I'm using the 'Circular' package to plot windroses. I think the output table (see out2$table below) is incorrect when using different rotations. More precisely, when a rotation is used for the plot, the output table stuffs up. This example is from the code in the help notes, although the

About to try this implementation. As a follow-up, this is the exact error: Lost warning messages Error: no more error handlers available (recursive errors?); invoking 'abort' restart Execution halted Error: cons memory exhausted (limit reached?) Error: cons memory exhausted (limit reached?) Error: cons memory exhausted (limit reached?) Error: cons memory exhausted (limit reached?)

# Hi there, # I am trying to apply a function over a moving-window for a large number of multivariate time-series that are grouped in a nested set of factors. I have spent a few days searching for solutions with no luck, so any suggestions are much appreciated. # The data I have are for the abundance dynamics of multiple species observed in multiple fixed plots at multiple sites. (I total I

Hello, we have 80 text files with matrices. Each matrix represents a map (rows for latitude and columns for longitude), the 80 maps represent steps in time. In addition, we have a vector x of length 80. We would like to compute a regression between matrices (response through time) and x and create maps representing coefficients, r2 etc. Problem: the 80 matrices are of the size 4000 x 3500 and we