Just run a t-test. See:
?t.test

Dimitri

On Wed, May 5, 2010 at 3:54 PM, Dmitry Gospodaryov
<gospodaryov@rambler.ru>wrote:

> Dear developers of R-project,
> I have such data
> height of male persons
> 181, 178, 182, 160, 187, 193, 184, 184,
> 175, 178, 184, 184, 174, 185, 175
> height of female persons
> 164, 165, 160, 174, 167, 161, 164, 165,
> 169, 175, 165, 155, 172, 164, 172, 166,
> 160, 159, 158, 173
> I want to determine if height is dependent on
> gender, and I need to find, as I understand, point
> biserial correlation. I had tried to use package "ltm",
> and obtained coefficient which is about 0.74. I also
> had tried to calculate it manually (with some MS Excel help
> for simple calculations), using equation given in Internet
> (e.g., in Wikipedia; this equation is also given in some
> copy-books) and obtained coefficient is about 0.77.
> "ltm" provides somewhat other equation with pi-numbers.
> So, the questions are following:
> 1). Do exist packages in R-project, except of "polycor" and
> "ltm", which provide calculation of point biserial correlation?
> 1a). Why "ltm" use "non-traditional" equation for
> bisserial coefficient? Which is significance of this difference?
> 2). Can I also calculate significance of the biserial correlation
> coefficient (p < ???; using, probably, t-test) by means of
> R-project?
>
> Thank You for advance.
> With regard,
> Dmitry Gospodaryov.
>
> ______________________________________________
> R-help@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.
>



-- 
Dimitri Liakhovitski
Ninah.com
Dimitri.Liakhovitski@ninah.com

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