search for: indpendent

Displaying 6 results from an estimated 6 matches for "indpendent".

Did you mean: independent
2004 Dec 09
3
urgent outbound dialing problem
...nd won't dial out. This behavior is happening over two different servers i am using. Rebooting asterisk does not sovle the problem. I rmmod the zaptel driver then reload and that solved the problem. But i cannot continue to do that. Also sip to sip is just fine. This behavior is client indpendent (used kphone, tecom, xlite, snom) and problem still persists. can anyone advise me on that mohammed
2012 Feb 11
2
Detect numerical series
Hello, I am struggling with detecting successive digits in a numerical series vector. Here is an example: vec <- c(1, 15, 26, 29, 30, 31, 37, 40, 41) I want to be able to detect 29, 30, 31 and 40, 41. Then, I would like to delete the successive digits from the vector. 1, 15, 26, 29, 37, 40 Cheers -- View this message in context:
2005 Jul 15
0
Queue_log stats
I'm in search of useful ACD type statistics from the queues. Ie talk time, ratio's, dropped calls etc. The flat file queue_log is nice, but more useful would be the data in Postgres or Mysql. Unfortunately the queue module does not yet support ODBC DB logging (yet). In the meantime this quick and dirty hack gets the job done. Replace the flat file with a unix named pipe.
2005 Aug 31
1
Softphone vmail indicator and TDM400P woes
Hello list... 1) Is there an IAX softphone that supports any kind of voicemail indicator? 2) I have 2 TDM400Ps installed in a system. I need the audio on the analog phone (FXS modules) to be amplified somewhere between 10 and 15db so I set rxgain and txgain to 15 for the FXO interfaces and FXS interfaces. When a call comes in on the FXO at this setting, the call sometimes has about 20 seconds of
2007 Feb 19
1
random effect nested within fixed effects (binomial lmer)
I have a large dataset where each Subject answered seven similar Items, which are binary yes/no questions. So I've always used Subject and Item random effects in my models, fit with lmer(), e.g.: model<-lmer(Response~Race+Gender+...+(1|Subject_ID)+(1| Item_ID),data,binomial) But I recently realized something. Most of the variables that I've tested as fixed effects are properties
2006 Mar 01
3
Optimization problem: selecting independent rows to maximize the mean
Dear R community, I have a dataframe with 500,000 rows and 102 columns. The rows represent spatial polygons, some of which overlap others (i.e., not all rows are independent of each other). Given a particular row, the first column contains a unique "RowID". The second column contains the "Variable" of interest. The remaining 100 columns ("Overlap1" ...