search for: eveluate

Checkout http://www.voip-info.org/wiki-Asterisk+variables I believe that should have the answer for you. furthermore assuming that your number is always going to be 12 digits. exten => _NXX.,1,SetVar(mynumber=${EXTEN:0:12}) - will give you your number. Hope this helps. Umar On Sun, 13 Mar 2005 09:25:11 +0100, Harald Milz <hm@seneca.muc.de> wrote: > Hi, > > this

Hi, developers, I notice following asm symbol definitions are eveluated improperly: A = 9 B = 3*A - 2 * A + 1 the value of B should be 10 instead of 8. It seems asm parser treat "B = 3*A - 2 * A + 1" as "B = 3*A - (2 * A + 1)" because the second "*" has higher precedence than "-", and evaluation just performs simple recursion...

On 3 May 2013 01:37, 杨勇勇 <triple.yang at gmail.com> wrote: > Hi, developers, > > I notice following asm symbol definitions are eveluated improperly: > > A = 9 > B = 3*A - 2 * A + 1 > > the value of B should be 10 instead of 8. > > It seems asm parser treat "B = 3*A - 2 * A + 1" as "B = 3*A - (2 * A + 1)" > because the second "*" has higher precedence than "-", and eval...

...is(1000,10), c=gl(20,50), d=rnorm(1000,3), e=rnorm(1000,5), f=rnorm(1000,2)+5); glmer(b~d+f|c+(e), family=poisson, data=a) It crashes R on debian linux (2 independant systems) as well as windows The correct function usage is: glmer(b~d+f+(e|c), family=poisson, data=a) I suppose it should just eveluate as wrong usage of a function but should not crash R

Hello R-Community, we are running aprogram to fit Non-linear differential equations to Aphid population Data and to estimate the birth and death parameters, here is the code: dat<-data.frame(Time=c(0:60),Cur=c(5,6.2,59,39,38,44,20.4,19.4,34.2,35.4,38.2,48.2,55.4,113.2, 97,112,115,126,136.6,140.6,147.2,151.6,157.8,170,202,210.4,221.2,224.4,248.2,266,

> From: Robin Hankin > > [stuff about the CLT deleted] > > > > > So you can use R usefully to eveluate general statisical > > issues of this kind! > > > > absolutely! R is excellent for this sort of thing. I use it for > teaching stats all the time. > I'd say that without a tool like R you cannot learn statistics. > > > Consider an exponential distribution,...