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Re: st: Rolling regression without "clear"
From
"G. Anderson" <[email protected]>
To
[email protected]
Subject
Re: st: Rolling regression without "clear"
Date
13 Jun 2013 14:54:05 +0100
Works well. Thank you!
On Jun 13 2013, Nick Cox wrote:
There is no difference in principle. Even if you have a stored scalar, say
scalar foo = 42
you can supply its value like this
... , window(`=foo')
so that what happens is
1. Stata sees the expression to be evaluated `=foo' -- goes then
into a corner -- and comes back with the result of that evaluation,
here 42
2. -rolling- itself sees -window(42)- and moves on.
If your name could be confused with a variable name, then
..., window(`=scalar(foo)')
disambiguates. Documentation starts at -help macro-, but you have to
dig a bit deep to see it from documentation.
For a local macro,
..., window(`foo')
would work, but for a scalar, a beast of a different kind, syntax is
slightly different.
Nick
[email protected]
On 13 June 2013 11:33, G. Anderson <[email protected]> wrote:
Great. Thanks Nick.
Do you know whether it's possible to set the window size based on a
stored scalar, rather than typing in the number?
Thanks,
Gareth
On Jun 13 2013, G. Anderson wrote:
Hi,
I am using the "rolling" command in Stata 12 to do rolling
regressions.However when I use
rolling , window(150):regress depvar indvar
I get the error message "no; data in memory would be lost"
The only way I can get around this is by adding in the "clear" command,
but this deletes all of my dataset, which is not ideal. Is there a way
around this?
Thanks,
Gareth
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