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Re: st: Dropping variables in regression equations based on R-Squared value
From
Nick Cox <[email protected]>
To
"[email protected]" <[email protected]>
Subject
Re: st: Dropping variables in regression equations based on R-Squared value
Date
Sat, 20 Jul 2013 11:10:59 +0100
If there was a conflict with variable names
if max(scalar(a), scalar(b)) > 0.95 local droplist `droplist' `x'
}
Nick
[email protected]
On 20 July 2013 10:21, George Murray <[email protected]> wrote:
> Thanks again for the help Nick. This worked, although I had to change
> the scalar names.
>
> George.
>
> On Sat, Jul 20, 2013 at 5:12 PM, Nick Cox <[email protected]> wrote:
>> local droplist
>>
>> foreach x of varlist var1-var5000{
>> quietly reg `x' var5001
>> display "`x'" `e(r2)'
>> scalar a = e(r2)
>> quietly reg `x' var5002
>> display "`x'" `e(r2)'
>> scalar b = e(r2)
>> if max(a, b) > 0.95 local droplist `droplist' `x'
>> }
>>
>> drop `droplist'
>> Nick
>> [email protected]
>>
>>
>> On 20 July 2013 07:45, George Murray <[email protected]> wrote:
>>> abcde
>>> Dear Statalist,
>>>
>>> I am running numerous regressions in the following form:
>>>
>>> foreach x of varlist var1-var5000{
>>> quietly reg `x' var5001
>>> display "`x'" `e(r2)'
>>> quietly reg `x' var5002
>>> display "`x'" `e(r2)'
>>> }
>>>
>>> Where e(r2) displays the R-Squared of each regression.
>>>
>>> If *either* of the above regression equations have an R-Squared
>>> greater than 0.95, I want to drop the variable `x' . For example, if I
>>> regress var500 on var1001, and then on var1002, and *either* of the
>>> regressions have an R-Squared value over 0.95, I wish to delete
>>> var500.
>>>
>>> Does anyone have a way of doing this? I’m doing this manually at the
>>> moment, but is taking far too much time, and of course, it would be
>>> better if I could find a way to do this with the code.
>>>
>>> Thank you.
>>>
>>> *
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>>
>> *
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>
> *
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*
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