similar to: Look What 911 Will Cost in Canada

From the bend me over news department. 2 March 2006 Mr. Leonard Katz Executive Director Broadcasting and Telecommunications Canadian Radio-television and Telecommunications Commission Ottawa, Ontario K1A 0N2 Dear Mr. Katz: Associated with Bell Canada Tariff Notice No. 6929 1. Attached for the Commission's approval are proposed revisions to Bell Canada's Access Services Tariff Item

Public Comment is required in order to stop this from approval. Letter Ottawa, 10 March 2006 File No.: 8740-B2-200602153 By E-mail Mr. David Palmer Director - Regulatory Matters Bell Canada 110 O'Connor Street Floor 7 Ottawa, ON K1P 1H1 bell.regulatory@bell.ca Dear Mr. Palmer: Re: Bell Canada Tariff Notice 6929 On 2 March 2006, the Commission received Tariff Notice 6929 proposing

Buenos días, *Muchas gracias, todas las aportaciones han sido bien útiles.* Las he tenido en cuenta y he pasado los datos con el R, siguiendo el siguiente comando: *modeloRTUN2<-lm(AVE.~ Tariff + d1 + d2 + d3 + d4 + d5 + d6 + d7 + d8 + d9+ d10 + d11+ d12+ d13+ d14+ d15+ d16+ d17+ d18+ d19+ d20 +d21 + Tariff*d1 + Tariff*d2 + Tariff*d10)* *summary(modeloRTUN2)* Siendo: AVE. = Variable

I try to change something in ASTCC, but I am now totally blind, .... I hang on one line now. I changed: vpbx:/var/lib/asterisk/agi-bin # diff astcc-original.agi astcc.agi 22c22 < # exten => _00XXXXXXXXX,1,DeadAGI(astcc.agi,${CALLERIDNUM},${EXTEN}) --- > # exten => _00XXXXXXXXX,1,DeadAGI(astcc.agi,${CALLERIDNUM},${TARIFF},${EXTEN}) 35c35 < # exten =>

I (cannot sleep and I) am thinking if there is a way to make inwards billing easy possible. To dial out we use something like: exten => _9011N.,4,DeadAGI(astcc.agi,${CALLERID(num)},${EXTEN:${TRUNKMSD}},${TARIFF}) (I have an extra field TARIFF, what allows me to use different prices for different users) To dial to a phone we use something like: exten => 888888888,1,Dial(SIP/6001,20,tr)

Hi, I am using the sim1000G R package to simulate data for case/control study. I can not figure out how to manipulate this code to be able to generate 10% or 50% causal SNPs in R. This is whole code provided as example on GitHub: library(sim1000G) vcf_file = "region-chr4-357-ANK2.vcf.gz" #nvariants = 442, ss=1000 vcf = readVCF( vcf_file, maxNumberOfVariants = 442 ,min_maf =

If I try: rsync -lptgoD -e "ssh -i /root/.ssh/rsync-key" --verbose --exclude="/*.*" --exclude="*.xml" --include="+ */Tariff/" 192.168.1.1:/home/e-smith/files/ibays/frogs/files/dbs/ rsync lists the correct files, but if I add the destination like this: rsync -lptgoD -e "ssh -i /root/.ssh/rsync-key" --verbose --exclude="/*.*"

Not sure if a2billing can be shared here, but ill give a shot If the credit < min_credit the IVR play: sorry you have 0 credit and hangup, I want it to FW me to the IVR to add voucher, please let me know: here is log: [18/10/2010 07:01:12]:[file:a2billing.php - line:75]:[CallerID:]:[CN:]:[IDCONFIG : 1] [18/10/2010 07:01:12]:[file:a2billing.php - line:76]:[CallerID:]:[CN:]:[MODE : standard]

Buenos días, Me gustaría aplicar una regresión múltiple a los datos con los que trabajo pero no se como introducir los datos en R. He probado introducir el siguiente comando: modeloM<-lm(AVE.~ d1 + as.factor(d1T)*Tariff) summary(modeloM) Pero me da el siguiente error: > summary(modeloM) Error in if (attr(z$terms, "intercept")) sum((f - mean(f))^2) else sum(f^2) : argument is

How can I use the column "setvar" in my dialplan? I am not sure if it is for that what I need: Many phones have the same jump in place, but need a few variables different, like tariff, silent, need_password, I have for tariff = 4 variations, for silent=2, for need_password=2 ... If I solve it like now, I need 4x4x2 = 32 context variations. If I could use a field in the Real-time

> > After running a MANOVA test, I used univariate Fs in order to see > which IV(s) was contributing the difference. > However, I have been critised about it, > and the reason I was given is: > > "MANOVA allows you to explore multiple associations but > does not excuse you from tracing out the causal relationships > for each variable. This does

Hi: We just setup the Asterisk and it seems to start ok. We checked the log, and beside the timer warning, there isn't other error message. However, we tried both SIPURA and XLite, but their registration is not accepted (timed out and failed). Could someone tell me what's wrong? [message] Dec 10 01:33:22 WARNING[2649]: Unable to open IAX timing interface: Permission denied Dec 10

Fully up-to-date CentOS 5.2 and Firefox browser. A previous thread had a problem with plugins disappearing. I've discovered, by accident, a causal relationship. Running a Thunderbird mail client (could happen with others? Haven't tested with Evolution yet.) I click a link that opens the browser. BANG! The plugins.dat is "emptied". Restored from my rsync backup, repeat, BANG!

Does anyone know of a package that includes the Modified Sims test [Gewerke, 1983, Sims, 1972]? This test is used in econometrics and is a kind of alternative to the Granger test [Granger, 1969], which is in the package lmtest. Thanks in advance, chris Refernces: Gewerke, J., R. Meese, and W. Dent (1983), "Comparing Alternative Tests of Causality in Temporal Systems: Analytic Results and

Buenos días, *Muchas gracias, todas las aportaciones han sido bien útiles.* Las he tenido en cuenta y he pasado los datos con el R, siguiendo el siguiente comando: *modeloRTUN2<-lm(AVE.~ Tariff + d1 + d2 + d3 + d4 + d5 + d6 + d7 + d8 + d9+ d10 + d11+ d12+ d13+ d14+ d15+ d16+ d17+ d18+ d19+ d20 +d21 + Tariff*d1 + Tariff*d2 + Tariff*d10)* *summary(modeloRTUN2)* Siendo: AVE. = Variable

Hola a todos y todas, Gracias por vuestro apoyo en cantidad de preguntas anteriores, de nuevo os escribo para compartir una duda: Estoy trabajando con un modelo bien sencillo, es una regresión simple, pero me gustaría comprobar la significación estadística de cada uno de los coeficientes de regresión en el modelo. La idea es hacer un contraste de hipótesis. Me he descargado el paquete

I am fairly new at using R/programming in general so I apologize if I am leaving crucial parts of the puzzle out, but here goes. First and foremost this is the error I am receiving: Error in muPriors[priors[, 1:2]] <- priors[, 3] : NAs are not allowed in subscripted assignments This occurs only when I am using observational priors and some number of nominal variables, it does not

Hi Berina, I'm not an expert on genetics. I haven't looked at the package. And I've only glanced at your question. So, this is probably not the best response. But as no one else has responded, here's some comments: (1) Have you checked if there's a function in the package to do what you want? The remainder of these questions assume that you have, and the answer is no. (2)

Dear R-list, i have 6 different sets of samples. Each sample has about 5000 observations, with each observation comprised of 150 baseline covariates (X), 125 of which are dichotomous. Roughly 20% of the observations in each sample are "treatment" and the rest are "control" units. i am doing propensity score matching, i have already estimated propensity scores(predicted

Hey all, I encountered a problem drawing a histogram. You can view the picture here: http://dl.dropbox.com/u/4836866/Bad_Histogramm.png What happens: the bars are drawn with different starting points, thus no straight zero-line is there. And bars are overlapping. (or sometimes apart from each other.) How it happens: hist(volcano, breaks=10) # and any other data This also happens with