Displaying 6 results from an estimated 6 matches for "evelu".
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2005 Mar 13
2
How can I eveluate trailing numbers in extensions.conf?
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
2013 May 03
2
[LLVMdev] bug report on MC asm parser evaluating expressions
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 recurs...
2013 May 03
0
[LLVMdev] bug report on MC asm parser evaluating expressions
On 3 May 2013 01:37, æšćć <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 e...
2008 Aug 07
1
incorrect usage of glmer crashes R (PR#12375)
...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
2005 Nov 08
1
Can someone Help in nls() package
...dCum <- Cur
list(c(dCur,dCum))
}
require(nls)
fit <- nls(Cur ~ lsoda(c(Cur=1,Cum=1), times, f, c(a=a, b=b))[,2],
data=dat,
start=list(a=2.5, b=.01),
trace=T
)
print(coef(fit))
It runs the first iterations and shows the output, after the intial
eveluation it send the following error message:
92 : 2.50 0.01
Error in numericDeriv(form[[3]], names(ind), env) :
Missing value or an infinity produced when evaluating the model
In addition: There were 50 or more warnings (use warnings() to see the first 50)
> print(coef(fit))
Error in coef...
2004 Dec 02
0
A somewhat off the line question to a log normal distrib
> 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 distributi...