[R] p value

[Greg Snow]

An option similar to Bert's but looking more like a standard hypothesis test output is to use the function:
SnowsCorrectlySizedButOtherwiseUselessTestOfAnything from the TeachingDemos package.

If you want a more useful result then you will need to be less general and more specific.

-- 
Gregory (Greg) L. Snow Ph.D.
Statistical Data Center
Intermountain Healthcare
greg.snow at imail.org
801.408.8111


> -----Original Message-----
> From: r-help-bounces at r-project.org [mailto:r-help-bounces at r-
> project.org] On Behalf Of Bert Gunter
> Sent: Sunday, May 16, 2010 9:26 AM
> To: 'Soham'; r-help at r-project.org
> Subject: Re: [R] p value
> 
> runif(1)
> 
> 
> Bert Gunter
> Genentech Nonclinical Statistics
> 
> -----Original Message-----
> From: r-help-bounces at r-project.org [mailto:r-help-bounces at r-
> project.org] On
> Behalf Of Soham
> Sent: Saturday, May 15, 2010 9:05 AM
> To: r-help at r-project.org
> Subject: [R] p value
> 
> 
> How to compute the p-value of a statistic generally?
> --
> View this message in context:
> http://r.789695.n4.nabble.com/p-value-tp2217867p2217867.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.
> 
> ______________________________________________
> 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.