[R] Kruskal-Wallace power calculations.
Jim Lemon
drjimlemon at gmail.com
Fri Apr 3 00:35:30 CEST 2015
Hi Collin,
Have a look at this:
http://stats.stackexchange.com/questions/70643/power-analysis-for-kruskal-wallis-or-mann-whitney-u-test-using-r
Although, thinking about it, this might have constituted your "perusal of
the literature".
Plus it always looks better when you spell the names properly
Jim
On Fri, Apr 3, 2015 at 2:23 AM, Jeff Newmiller <jdnewmil at dcn.davis.ca.us>
wrote:
> Please stop... you are acting like a broken record, and are also posting
> in HTML format. Please read the Posting Guide and demonstrate that you have
> used a search engine on this topic before posting again.
> ---------------------------------------------------------------------------
> Jeff Newmiller The ..... ..... Go Live...
> DCN:<jdnewmil at dcn.davis.ca.us> Basics: ##.#. ##.#. Live
> Go...
> Live: OO#.. Dead: OO#.. Playing
> Research Engineer (Solar/Batteries O.O#. #.O#. with
> /Software/Embedded Controllers) .OO#. .OO#. rocks...1k
> ---------------------------------------------------------------------------
> Sent from my phone. Please excuse my brevity.
>
> On April 2, 2015 7:25:20 AM PDT, Collin Lynch <cflynch at ncsu.edu> wrote:
> >Greetings, I am working on a project where we are applying the
> >Kruskal-Wallace test to some factor data to evaluate their correlation
> >with
> >existing grade data. I know that the grade data is nonnormal therefore
> >we
> >cannot rely on ANOVA or a similar parametric test. What I would like
> >to
> >find is a mechanism for making power calculations for the KW test given
> >the
> >nonparametric assumptions. My perusal of the literature has suggested
> >that
> >a simulation would be the best method.
> >
> >Can anyone point me to good examples of such simulations for KW in R?
> >And
> >does anyone have a favourite package for generating simulated data or
> >conducting such tests?
> >
> > Thank you,
> > Collin.
> >
> > [[alternative HTML version deleted]]
> >
> >______________________________________________
> >R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see
> >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 -- To UNSUBSCRIBE and more, see
> 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.
>
[[alternative HTML version deleted]]
More information about the R-help
mailing list