[R] Comparing two groups

[PIKAL Petr]

Hi

> -----Original Message-----
> From: r-help-bounces at r-project.org [mailto:r-help-bounces at r-
> project.org] On Behalf Of Andrej
> Sent: Monday, October 14, 2013 9:49 AM
> To: r-help at r-project.org
> Subject: [R] Comparing two groups
> 
> Hi,
> this might sound trivial, but I'm pretty new to R and statistics in
> general.

So why not start with some statistical textbook? There are plenty of them available in CRAN.

> What I want to do is to compare two data values. The hook is, that they
> are non-normally distributed and that one value is five times as big as
> the other. The box-plots look like this
> <http://r.789695.n4.nabble.com/file/n4678190/mixture_vs_monoculture.png
> >  .
> Ignore the number at the bottom. I want to know if those two are
> significantly different from one another. I tried it with the wilcox-
> test (because it is advertised as a non-parametric test), but get a p-
> value of
> 0.0009 and naturally don't quite believe it to be true.

Why? What leads you to this statement? Some other tests? Some other results?

> Do you have any suggestions how I can handle that problem?

You can try some normalising procedure like Box-Cox.

function (x, lambda, inv = F) 
{
    if (!inv) {
        if (missing(lambda)) 
            log(x)
        else (x^lambda - 1)/lambda
    }
    else (lambda * x + 1)^(1/lambda)
  }

or boxcox from MASS package.

and then to use standard t.test, but you will probably gat quite similar result as with wilcox.test.

Regards
Petr

> 
> Andrej
> 
> 
> 
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