similar to: how to send dummy audio stream while recording

any updates as to when this would be available for 13? jrun

Hello, I have my provider dropping the calls after 41 seconds of not receiving any RTP from my asterisk. Obviously there is no RTP back when the caller is leaving a message in the voicemail. Is it possible to have asterisk generate some RTP packet back? Leandro -------------- next part -------------- An HTML attachment was scrubbed... URL:

We are working with an Avaya switch. We send them a REFER. If the transfer is successful, everything is great. If it fails (busy), they send an INVITE in-dialog with a media attribute of inactive. After that, they send a 486 busy. The problem is Avaya basically put the call on hold so audio is not active. The Avaya rep is indicating we need to send in dialog invite to get the call audio back?

Hello, The attached patch adds the jcheck target equivalent to make check, but that can run with a -j flag ($ make jcheck -jX). It does not interfere with the regular check, but rather builds on top of the check-one target: it first generates a list of tests to run using RunLLVMTests, and then run those tests according to the supplied -j flag, invoking the check-one target for each one of them.

Dear Rusers, My question is about "recode variables". First, i'd like to say something about the idea of recoding: My dataset have three variables:type,soiltem and airtem,which means grass type, soil temperature and air temperature. As we all known, the change of air temperature is greater than soil temperature,so the values in those two different temperaturemay represent different

I know this comes up, but I didn't see my exact issue in the archives. I have variables in a dataframe that need to be recoded. Here is what I'm dealing with I have a factor called aa > class(aa) [1] "factor" > table(aa) aa * 0 1 2 3 A B C D L N T 0 0 1908 725 2089 0 0 67 0 0 2 1 6 I need to recode

Hi, Is there an efficient way recoding variables in a data.frame using base R? My purpose is to create new variables and attach them into old data.frame. The basic idea is shown below, but how to create recoding for A, B and C and assing them into new variables? df <- data.frame(A = c(1:5), B = c(3,6,2,8,10), C = c(0,15,5,9,12)) df$A[df$A <= 3] <- "x" df$A[df$A > 3 &

Hi folks, I have five imputed data sets and would like to apply the same recoding routines to each. I could do this sort of thing pretty easily in Stata using MIM, but I've decided to go cold turkey on other stats packages as a incentive for learning more about R. Most of the recoding is for nominal variables, like race, religion, urbanicity, and the like. So, for example, to recode race

Hi, I'm new to R so please fogive if I write someting silly ... I need to recode a series of responses from a number of questionnaires. The data is read via ODBC from a database where all responses are coded as tables of the form (id, question, score). After dealing with recoding of missing values, I need to "invert" the scores of some questionnaire's item in the form x <-

Dear R-helpers, I am helping a SAS user run some analyses in R that she cannot do in SAS and she is complaining about R's peculiar (to her!) way of recoding variables. In particular, she is wondering if there is an R package that allows this kind of SAS recoding: IF TYPE='TRUCK' and count=12 THEN VEHICLES=TRUCK+((CAR+BIKE)/2.2); Thanks for any help or suggestions you might be able

Hello, I have struggled, for longer than I care to admit, with this seemingly simple problem, but I cannot find a solution other than the use of long drawn out ifelse statements. I know there has to be a better way. Here is stripped down version of the situation: I start with: a <- c(1,0,1,0,0,0,0) b <- c(1,1,1,1,0,0,0) c <- c(1,1,0,1,0,0,0) rbind(a,b,c) [,1] [,2] [,3] [,4] [,5]

I am trying to recode a variable into another variable and while the package 'car' works well when it is only recoding A into B, I am not sure I can do the same with recoding (A or C) into B. If i can use recode please advise on how to. So i am using an if/else if conditions. My sample dataset is below along with the code and the warning and results i get. TIA Krishnan #****Code****

Hello everyone, I can not get the name of the recoding file of agents calls. I set agents.conf as following: ; Enable recording calls addressed to agents. It's turned off by default. recordagentcalls=yes ; ; The format to be used to record the calls (wav, gsm, wav49) ; By default its "wav". ;recordformat=gsm ; ; Insert into CDR userfield a name of the the created recording ; By

I'm having a bit of trouble recoding factors in a fields. I have a field which has the factors Singleton, Twin and Triplet. I want to recode the field to have only the factors Singleton and Multiple. Any advice? Cheers, Neil

I have a text file full of numbers (it's a edgelist for a graph) and I would like to recode the numbers as they are way too big to work with. So for instance the following: 676529098667 1000198767829 676529098667 100867672856227 676529098667 91098726278 676529098667 98928373 1092837363526 716172829 would become: 0 1 0 2 0 3 0 4 5 6 i.e. all 676529098667 would become

Greetings, I'm in the painful process of migrating from SAS to R. In the process I've discovered that there are some basic things that I am getting hung up on. The most basic is the simple recoding of variables. Suppose I create a vector x <- rnorm(10000) and I want to recode all values of x > 1.5 to NA. How would I do that in R? TIA Cheers, Patrick

Hi all I am trying to do a simple recode which I am stumbling on. I figure there must be any easy way but haven't come across it. Given data of A","B","C","D","E","A" it would be nice to recode this into say three categories ie A and B becomes "Treat1", C becomes "Treat 2" and E becomes "Treat 3". I tried

Hi all, I had some trouble in?regrouping factor levels for a variable. After some experiments, I have figured out how I can recode to modify the factor levels. I would now like some help to understand why some methods work and others don't. Here's my code : rm(list=ls()) ###some trials in recoding factor levels char<-letters[1:10] fac<-factor(char) levels(fac) print(fac) ##first

Dear R helpers, I have a data frame where missing values for numeric variables are coded as 999. I want to recode those as NAs. The following only partially succeeds because numeric variables are converted to character in the process: df <- data.frame(a=c(999,1,999,2), b=LETTERS[1:4]) is.na(df[2,1]) <- TRUE df a b 1 999 A 2 NA B 3 999 C 4 2 D is.numeric(df$a) [1] TRUE

Dear R-List, I would like to recode categorial variables into binary data, so that all values above median are coded 1 and all values below 0, separating each var into two equally large groups (e.g. good performers = 0 vs. bad performers =1). I have not succeeded so far in finding a nice solution to do that in R. I thought there might be a better way than ordering each column and recoding the