similar to: X100P CallerID issue solved for my PSTN connection

Hi all, In order to get the CallerID from PSTN (X100P) I have modified callerid.c file like that: callerid.c [line 256] from: case 3: /* Number (for Zebble) */ to /*case 3: Number (for Zebble) */ Without this modification my own number was displayed as the inoming call CallerID. Now I want to go further. I have activated CallWaiting support on the POTS line. When someone calls and I am in

Has anyone gotten CID from Bell Canada to work properly with *? We have our * box down at our datacentre in St Louis, and whenever we call it from a Bell Canada Telephone line, all we see is '' for the CID. I did some digging on google and the mailing lists and couldn't find anything pertaining directly to Bell-Canada and * CID, but didn't find much. I did however find :

Dear All, I would like to use the simprof function (clustsig package) but the available distances do not include Jaccard distance, which is the most appropriate for pres/abs community data. Here is the core of the function: > simprof function (data, num.expected = 1000, num.simulated = 999, method.cluster = "average", method.distance = "euclidean", method.transform =

Hi, I am trying to use piecewise linear regression to approximate a nonlinear function. Actually, I don't know how many linear functions I need, therefore, I want build an array of regression models to automate the approximation job. Could you please give me any clue? Attached is ongoing code: rawData = scan("c:/zyang/mass/data/A01/1.PRN", what=list(numeric(),numeric())); len =

On Fri, 8 Aug 2003, Dave Cotton wrote: > The x100p does get the CID in France. It is now a question of how to break it down. > > I changed callerid.c line 278 to :- > > ast_log(LOG_NOTICE, "Got this:- %s\n", cid->rawdata); > > and the result on August 8 at 10:06 from 0490233081 was:- > > File callerid.c, Line 278 (callerid_feed): Got this:-

Dear all, Let say I have following data: RawData <- matrix(1:101, nr = 1); colnames(RawData) <- c("ASD", as.character(as.yearmon(seq(as.Date("2012-03-01"), length.out = 100, by = "1 month")))); rownames(RawData) <- "XYZ" CutOffDate <- as.Date("2012-09-01") NewDateSeries <- as.character(as.yearmon(seq(CutOffDate, to =

In an earlier post, a person wanted to divide each of the rows of rawdata by the row vector sens so he did below but didn't like it and asked if there was a better solution. rawdata <- data.frame(rbind(c(1,2,2), c(4,5,6))) sens <- c(2,4,6) temp <- t(rawdata)/sens temp <- t(temp) print(temp) Gabor sent three other solutions and I understood 2 of them but not the

I understand that in R, for loops are not used as often as other languages, and am trying to learn how to avoid them. I am wondering if there is a more efficient way to write a certain piece of code, which right now I can only envision as a for loop. I have a data file that basically looks like: 1,55 1,23 2,12 ... that defines a matrix. Each row of the data file corresponds to a row of the

Dear R, I import data from spss into a R data.frame. On this rawdata I do some data processing (selection of observations, normalization, recoding of variables etc..). The result is stored in a new data.frame, however, in this new data.frame the value labels are lost. Example of what I do in code: # read raw data from spss rawdata <- read.spss("./data/T50937.SAV",

All - Below are samples of the data, a description of my approach and the work I've done so far. My goal is two-fold, first learn more about R and the creation of heatmaps; second, to create a heat map where the vertical access is a series of days and the horizontal is the hour of a day with the color of the cells being determined by the number of texts in that hour. While the project

Hi R -users, i've a table as describe below. I'm reading the numeric value presented in this table to populate a list. #table #============ #X    A    B    C #x1    2    3    4 #x2    5    7    10 #x4    2    3    5 #============ rawData <- read.table("raw_data.txt",header=T, sep="\t") myList=list() counter=0 for (i in c(1:length(rawData$X))) {     print (i)    

Hi, More questions in my ongoing quest to convert from RapidMiner to R. One thing has become VERY CLEAR: None of the issues I'm asking about here are addressed in RapidMiner. How it handles misisng values, scaling, etc. is hidden within the "black box". Using R is forcing me to take a much deeper look at my data and how my experiments are constructed. (That's a very

I am having a problem understanding the lda package. I have a dataset here: [,1] [,2] [,3] [1,] 2.95 6.63 0 [2,] 2.53 7.79 0 [3,] 3.57 5.65 0 [4,] 3.16 5.47 0 [5,] 2.58 4.46 1 [6,] 2.16 6.22 1 [7,] 3.27 3.52 1 If I do the following; "names(d)<-c("y","x1","x2") d$x1 = d$x1 * 100 d$x2 = d$x2 * 100 g<-lda( y ~ x1 + x2, data=d) v2

Hi Please help! I have one X101P and TDM400P in my asterisk Box When i make a call from * to PSTN, everything goes Ok, When the PSTN hangups or * hangups, the busy tone is detected and * disconnects the channel without problems. The problem occurs when the call comes from PSTN. When * hangups, the other end (at pstn) does not hangup, it only presents silence. Please tell me how to solve this

Hi list, On 2007-09-10 Silvia Pfeiffer wrote: > 2) we need a XML annotation format for audio - in particular for music - > that is more structured than vorbiscomment (and this probably > applies to video, too) Above, Silvia sums up nicely what I used three days and a tone of emails to say. (Though she did not say that this format should replace Vorbis comments all together, which is

Hello there, Much thanks in advance for any help. I have a few questions: 1) Why do I keep getting the following error: File1 <- read.csv("../RawData/File1.csv",as.is=TRUE,row.names=1) Error in file(file, "rt") : cannot open the connection In addition: Warning message: In file(file, "rt") : cannot open file '../RawData/File1.csv': No such file or

Hello, I'm wondering how I can merge two featuresets into one. My dataset is two sets of microarray data and it looks like followings: > rawData $v1 TilingFeatureSet (storageMode: lockedEnvironment) assayData: 2197815 features, 59 samples element names: channel1, channel2 protocolData rowNames: LT290677RU_D1_2011-02-16 LT286300LU_D1_2010-07-24 ... LT003990RU_D1_2010-11-04 (59

Hi everyone, I experience some problems with adressing of data.frames when I retrieve some information for geographical position (ypos, xpos) ot of a MySQL Database and want to perform some simple statistics. The problem is adressing the dataframes with a construct like rawdata[c(type)] vs. rawdata$TEMPMIN to retrieve the numerical information and not a string (I want to store the numerical

So wiki discussion on the new metadata format is ongoing. I'd like to move some things about a bit. MDMF is a discussion of the metadata XML format itself, Metadata gives some background an overview and a few old sample cases. I'm not sure how many people read the wiki talk page so I thought I'd ask here if there were any objections before doing it. What would most likely happen

It seems the information out there on this topic was confusing enough to cause me to waste a lot of time, and that this topic is rehashed periodically. So now it's my turn.... I had a modem with an Intel 537EP chip on it and thought it might work with the zaptel drivers. Initially, it seemed the only issue would be the PCI device & vendor codes. Then, I ran into the problem that