Re: st: Re: using categorical and continuous variables foreach loop for univaraite analysis

[Phil Clayton <philclayton@internode.on.net>]

Like I said, you need to change your -foreach- syntax. Not:
foreach x of varlist
but:
foreach x in

Phil

On 09/07/2013, at 12:51 PM, Michael Stewart <michaelstewartresearch@gmail.com> wrote:

> Hi,
> 
> I apologize, I should have told you that I have tried the solution
> suggested by Phil prior to posting the question and I get an error
> 
> ************************************************************
> foreach x of varlist i.cat1 i.cat2 con1 con2 {
> logit outcome `x'
> }
> 
> factor variables not allowed
> r(101);
> 
> end of do-file
> ************************************************************
> 
> Regarding Dimitri's solution, I have unequal number of categorical and
> continuous variables.hence, will not be able to use the solution.
> 
> 
> Thank you again for your time and consideration
> 
> Mike
> 
> On Mon, Jul 8, 2013 at 7:47 PM, Phil Clayton
> <philclayton@internode.on.net> wrote:
>> One simple solution is a slight tweak to your -foreach- syntax:
>> 
>> foreach x in i.cat1 i.cat2 i.cat3 i.cat4 con1 con2 con3 con4 {
>>        logit outcome `x'
>> }
>> 
>> Phil
>> 
>> On 09/07/2013, at 8:51 AM, Michael Stewart <michaelstewartresearch@gmail.com> wrote:
>> 
>>> Hello all,
>>> 
>>> In my research project, I have a number of categorical predictors(cat1
>>> cat2 cat3 cat4 ) and continuous predictors(con1 con2 con3 con4) and
>>> during initial uni-variate analysis,  I am using two step process to
>>> evaluate for statistical significance.My code is a follows
>>> 
>>> I use stata 12
>>> 
>>> *********************MY CODE ********************
>>> foreach x of varlist cat1 cat2 cat3 cat4{
>>> logit outcome i.`x'
>>> }
>>> 
>>> foreach x of varlist con1 con2 con3 con4{
>>> logit outcome `x'
>>> }
>>> ********************************************************
>>> Question:
>>> 
>>> Is it possible to achieve this is one step i.e., use continuous and
>>> predictors as a single varlist but perform logistic regression still
>>> respecting the fact that  some are categorical variables and some are
>>> continuous variables
>>> 
>>> --
>>> Thank you  in advance for your time and consideration,
>>> Yours Sincerely,
>>> Mike.
>>> *
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>>> *   http://www.stata.com/support/faqs/resources/statalist-faq/
>>> *   http://www.ats.ucla.edu/stat/stata/
>> 
>> 
>> *
>> *   For searches and help try:
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> 
> 
> 
> -- 
> Thank you ,
> Yours Sincerely,
> Mike.
> *
> *   For searches and help try:
> *   http://www.stata.com/help.cgi?search
> *   http://www.stata.com/support/faqs/resources/statalist-faq/
> *   http://www.ats.ucla.edu/stat/stata/


*
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