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.
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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.
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]]