[R] Standard errors from a randomization test?

jjh jjharden at gmail.com
Mon Jan 11 15:09:20 CET 2010


Standard errors for the coefficients. Thanks!


Tal Galili wrote:
> 
> Hi jjh,
> I wasn't able to understand: for what statistic do you want the standard
> error for? (The coefficients, the R^2 ?)
> 
> Tal
> 
> 
> ----------------Contact
> Details:-------------------------------------------------------
> Contact me: Tal.Galili at gmail.com |  972-52-7275845
> Read me: www.talgalili.com (Hebrew) | www.biostatistics.co.il (Hebrew) |
> www.r-statistics.com/ (English)
> ----------------------------------------------------------------------------------------------
> 
> 
> 
> 
> On Fri, Jan 8, 2010 at 1:45 PM, jjh <jjharden at gmail.com> wrote:
> 
>>
>> Hello-
>>
>> Is it possible to estimate standard errors for a multiple regression
>> model
>> using a randomization test approach? I have seen a lot on using the
>> procedure to get a test statistic, but nothing that talks about getting
>> actual standard errors. Is this possible? How might I do this in R?
>>
>> Thank you.
>> --
>> View this message in context:
>> http://n4.nabble.com/Standard-errors-from-a-randomization-test-tp1009613p1009613.html
>> Sent from the R help mailing list archive at Nabble.com.
>>
>> ______________________________________________
>> R-help at r-project.org mailing list
>> https://stat.ethz.ch/mailman/listinfo/r-help
>> PLEASE do read the posting guide
>> http://www.R-project.org/posting-guide.html
>> and provide commented, minimal, self-contained, reproducible code.
>>
> 
> 	[[alternative HTML version deleted]]
> 
> ______________________________________________
> R-help at r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide
> http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
> 
> 

-- 
View this message in context: http://n4.nabble.com/Standard-errors-from-a-randomization-test-tp1009613p1011239.html
Sent from the R help mailing list archive at Nabble.com.



More information about the R-help mailing list