[Rd] (PR#7225) propogation of rounding error for t.tests with unequal sample sizes (PR#7225)

Prof Brian Ripley ripley at stats.ox.ac.uk
Mon Sep 13 22:04:20 CEST 2004


What are you seeing here?  I get identical results in the two cases.

On Mon, 13 Sep 2004 tucker at mpi.com wrote:

> 
> # users would benefit from a warning about the behavior in the
> # groups.unbalanced case below.  A propogation of difference is the variance
> # calculation is leading to an apparently significant difference in
> # means, even though the numeric values are all identical.  Obviously upon
> # inspection the difference in means is meaningless, but users might be warned
> # if all of the input data is identical

That's not so easy to achieve, given rounding error, but I am seeing
0 variance in both cases.

> xx <- rep(2.10,80)
> 
> groups.balanced <- as.factor(c(rep("one",40),rep("two",40)))
> groups.unbalanced <- as.factor(c(rep("one",44),rep("two",36)))
> 
> t.test(xx ~ groups.balanced)
> 
> t.test(xx ~ groups.unbalanced)
> 
> 
> 
> <<insert bug report here>>
> 
> 
> 
> --please do not edit the information below--
> 
> Version:
>  platform = sparc-sun-solaris2.8
>  arch = sparc
>  os = solaris2.8
>  system = sparc, solaris2.8
>  status = 
>  major = 1
>  minor = 9.0
>  year = 2004
>  month = 04
>  day = 12
>  language = R
> 
> Search Path:
>  .GlobalEnv, package:methods, package:stats, package:graphics, package:utils, Autoloads, package:base
> 
> 
> 
> This e-mail, including any attachments, is a confidential business communication, and may contain information that is confidential, proprietary and/or privileged.  This e-mail is intended only for the individual(s) to whom it is addressed, and may not be saved, copied, printed, disclosed or used by anyone else.  If you are not the(an) intended recipient, please immediately delete this e-mail from your computer system and notify the sender.  Thank you.
> 
> ______________________________________________
> R-devel at stat.math.ethz.ch mailing list
> https://stat.ethz.ch/mailman/listinfo/r-devel
> 
> 

-- 
Brian D. Ripley,                  ripley at stats.ox.ac.uk
Professor of Applied Statistics,  http://www.stats.ox.ac.uk/~ripley/
University of Oxford,             Tel:  +44 1865 272861 (self)
1 South Parks Road,                     +44 1865 272866 (PA)
Oxford OX1 3TG, UK                Fax:  +44 1865 272595



More information about the R-devel mailing list