Another interesting visual technique is given by the
qreference() function in pkg:DAAG. I've used this type
of display effectively with non-stats people as well
as in teaching intro courses in stats.
(I would randomize the location of the actual-data panel
and not use a different colour. The question then is,
can you discern the actual data from the simulated data?)
-Peter Ehlers
Steve Lianoglou wrote:
Hi,
I think you can also use a qq-plot to do the same, no? You won't get a
statistic score + p.value, but perhaps you're more of a visual person?
:-)
-steve
On Thu, Oct 1, 2009 at 12:56 PM, Richardson, Patrick
<patrick.richard...@vai.org> wrote:
?shapiro.test
-----Original Message-----
From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] On
Behalf Of Noela Sánchez
Sent: Thursday, October 01, 2009 12:47 PM
To: r-help@r-project.org
Subject: [R] Normal distribution
Hi,
I am dealing with how to check in R if some data that I have belongs to a
normal distribution or not. I am not interested in obtaining the theoreticall
frequencies. I am only interested in determing if (by means of a test as
Kolmogorov, or whatever), if my data are normal or not.
But I have tried with ks.test() and I have not got it.
--
Noela
Grupo de Recursos Marinos y Pesquerías
Universidad de A Coruña
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