R help - Sep 2005 - Binary Logit Regression with R

Hi to all, 

I am a PH.D Student doing statistical analysis.
I am totally new to R. I previously use Stata and am changing into R. I 
ususally do with logit regression with binary dependent variable (war 
occurence:1 or 0). 

I just want to know command to do that. More sepcifically, 

Let say, my Y is war occurence (occur=1, otherwise 0). And my independent 
variables (Xs) are trade, democracy, military power....etc. 

In Stata, I do like what follows: 

logit war trade democracy militarypower... 

Then I will get results. 

What are the equivalent command in R? 

Many thanks, 

JP

On Thu, 2005-09-29 at 18:08 -0400, Johann Park wrote:
> Hi to all, 
> 
> I am a PH.D Student doing statistical analysis.
> I am totally new to R. I previously use Stata and am changing into R. I 
> ususally do with logit regression with binary dependent variable (war 
> occurence:1 or 0). 
> 
> I just want to know command to do that. More sepcifically, 
> 
> Let say, my Y is war occurence (occur=1, otherwise 0). And my independent 
> variables (Xs) are trade, democracy, military power....etc. 
> 
> In Stata, I do like what follows: 
> 
> logit war trade democracy militarypower... 
> 
> Then I will get results. 
> 
> What are the equivalent command in R? 
> 
> Many thanks, 
> 
> JP
See ?glm in the base stats package or ?lrm in Frank Harrell's Design
package on CRAN.

BTW, doing:

  help.search("logit")

or 

  RSiteSearch("logit")

would provide you with the ability to do keyword searches of your
current R installation or the online e-mail list and documentation
archives, respectively.

You should also review Chapter 11 - Statistical Models in R in "An
Introduction to R", which is installed with R or available online under
the Documentation/Manuals link on the main R web site.

HTH,

Marc Schwartz

Hi,

Johann Park wrote:
> Let say, my Y is war occurence (occur=1, otherwise 0). And my independent 
> variables (Xs) are trade, democracy, military power....etc. 
Take a look at ?glm.

HTH,

Kev

-- 
Ko-Kang Kevin Wang
PhD Student
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