[R] filtering out data
Daniel Folkinshteyn
dfolkins at gmail.com
Fri Aug 22 18:08:26 CEST 2008
If I understand correctly the result you are trying to achieve, I think
what you may be looking for is this:
model1.coeff <- lm(dv ~ iv1 + iv2 + iv3, data =
merged.dataset[merged.dataset$model1 == 1, ])
This will give you a regression using only the data for which model1 == 1.
on 08/22/2008 11:07 AM jim holtman said the following:
> Exactly what do you want this statement to do:
>
> if(merged.dataset$model1 == 1) model1.coeff <- lm(dv ~ iv1 + iv2 +
> iv3, data = merged.dataset)
>
> The result in the "if" is a vector of logical values (assuming that
> merged.dataset is longer than 1); that is the source of the error
> message. Do you want the regression to be done on every row? So what
> is the problem you are trying to solve?
>
> On Fri, Aug 22, 2008 at 10:47 AM, Kate Rohrbaugh
> <krohrbaugh at ipaglobal.com> wrote:
>> Greetings,
>>
>> Apologies for such a simple question, but I have been trying to figure this out for a few days now (I'm quite new to R), have read manuals, list posts, etc., and not finding precisely what I need. I am accustomed to working in Stata, but I am currently working through the multilevel package right now. In Stata, I would include the statement "if model1 == 1" at the end of my regression statement, but I can't seem to find the correct syntax for doing the same thing in R.
>>
>> I have successfully converted Stata datasets, merged, aggregated, run lm, etc., but this simple task is evading me entirely.
>>
>> Here's what I have tried (and various iterations):
>>
>> if(merged.dataset$model1 == 1) model1.coeff <- lm(dv ~ iv1 + iv2 + iv3, data = merged.dataset)
>> I get this:
>> Warning message:
>> In if (merged.dataset$model1 == 1) model1.coeff <- lm(dv ~ iv + :
>> the condition has length > 1 and only the first element will be used
>> What it seems to do is just run lm on the first opportunities of model1==1, but then doesn't try it again. I tried sorting so that the model1==1 appear first, but that doesn't seem to be a great solution either.
>>
>> I'll just go back into Stata and create separate new datasets if I have to, but there HAS to be a more elegant way.
>>
>> Thank you for ANY feedback!
>>
>> Kate
>>
>> Kate Rohrbaugh
>> Independent Project Analysis, Inc.
>> 44426 Atwater Drive
>> Ashburn, VA 20147
>>
>> office - 703.726.5465
>> fax - 703.729.8301
>> email - krohrbaugh at ipaglobal.com
>> website - www.ipaglobal.com
>>
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