Hello,
I'm trying to build a for loop, where I estimate a series of models with
different sets of (time series) data.
However my for loop doesn't recognize the i
# code
window.1=anomalies.CAK[(positions(anomalies.CAK)=timeDate(1/1/1971)
I am using nlm to maximize a likelihood function. When I call the likelihood
function (garchLLH) via nlm however, nlm returns the wrong value of the
function.
When I test the likelihood function manually I get the correct answer. I'm
probably doing something really stupid, maybe someone can
I am trying to lag a time series. My data is in a matrix, but I coerce it
into a ts object.
But when I lag it and then look at the result, nothing has changed. What am
I doing wrong?
residsq-resid^2
residsq-as.ts(residsq)
lag1residsq-lag(residsq,-1)
residsq[1:5]
1 2
subscripting of time
series works.
On Fri, Oct 10, 2008 at 1:27 PM, Scotty Nelson [EMAIL PROTECTED]
wrote:
I am trying to lag a time series. My data is in a matrix, but I coerce
it
into a ts object.
But when I lag it and then look at the result, nothing has changed. What
am
I doing wrong
I have a data vector x. When I try
qqline(x)
I get the following error:
Error in int_abline(a = a, b = b, h = h, v = v, untf = untf, ...) :
plot.new has not been called yet
And a blank plot appears.
Can anybody help? What am I doing wrong?
Thanks,
Scotty
Thanks!
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Would I need to
I'm having trouble installing packages in Windows Vista. It's driving me
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I read all the threads and I have tried the following:
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Here is
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