search for: cdr3

...Density" and their corresponding lines, the other shows "Mean = value" and "Median = value" and their corresponding points. Actually I want to put them into one legend. I tried several ways but ended up with getting mixed line and point types.My code is as following: hist(CDR3,xlab="",ylab="",main=NULL, xlim=c(min(CDR3),max(CDR3)),freq=FALSE,col="lightgrey") # draw the overlaying normal curve and kernel curve, draw mean and median on X-axis xfit<-seq(min(CDR3),max(CDR3),length=100) yfit<-dnorm(xfit,mean=mean(CDR3),sd=sd(CDR3)) lines(xf...

...;s take a look. In this particular situation, 3 channels are involved: A, B, and C. Therefore, you will get 3 CDRs. CDR1: A -> B start: e1a ans: e2 end: e4 Party: B disp: ANSW linkedID: abc9 CDR2: A start: e1 ans: e1 end: e6 Party: A disp: ANSW linkedID: abc9 CDR3: B -> C start: e4 ans: e5 end: e6 Party: C disp: ANSW linkedid: abc9 CDR2 covers A (see the Party field), CDR1 covers B, CDR3 covers C. A's CDR could be used to bill A for his call in. It covers both the time A spent talking to B, and C. If you charge a different rate for A talkin...

Hello! Most are probably bored seeing another letter about this, but I've put in a fair amount work on a spec for rewriting the CDR system in Asterisk, and I have some questions: First, please look at what I've written so far: svn co http://svn.digium.com/svn/asterisk/team/murf/RFCs and look at the file "CDRfix2.rfc.txt" in the RFCs dir. The spec SIGNIFICANTLY alters the way