In such a case your question can be split into two
stages:
The first one is to read your file into R data.frame
(let say) making sure that all "bad" entries are
replaced by NA (missing value). This usually can be
done and there are several ways of doing so.
Stage two would be to check how the missi
On Tue 23 Oct 07, 10:56 AM, Gad Abraham <[EMAIL PROTECTED]> said:
> caffeine wrote:
>> I'd like to fit an ARMA(1,1) model to some data (Federal Reserve Bank
>> interest rates) that looks like:
>> ...
>> 30JUN2006, 5.05
>> 03JUL2006, 5.25
>> 04JUL2006, N < here!
>> 05JUL2006, 5.
caffeine wrote:
> I'd like to fit an ARMA(1,1) model to some data (Federal Reserve Bank
> interest rates) that looks like:
>
>
> ...
> 30JUN2006, 5.05
> 03JUL2006, 5.25
> 04JUL2006, N < here!
> 05JUL2006, 5.25
> ...
>
>
> One problem is that holidays have that "N" for their
I'd like to fit an ARMA(1,1) model to some data (Federal Reserve Bank
interest rates) that looks like:
...
30JUN2006, 5.05
03JUL2006, 5.25
04JUL2006, N < here!
05JUL2006, 5.25
...
One problem is that holidays have that "N" for their data. As a test, I
tried fitting ARMA(1
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