[R] Bootstrapping One- and Two-Sample Hypothesis Tests of Proportion

Bert Gunter bgunter@4567 @ending from gm@il@com
Fri Nov 30 00:45:24 CET 2018


... but as Duncan pointed out already, I believe, a proportion **is** a
mean -- of 0/1 responses.


Bert Gunter

"The trouble with having an open mind is that people keep coming along and
sticking things into it."
-- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )


On Thu, Nov 29, 2018 at 3:30 PM Janh Anni <annijanh using gmail.com> wrote:

> Hi Rui,
>
> Thanks a lot for responding and I apologize for my late response.  I tried
> using the *boot.two.per* function in the wBoot package which stated that it
> could bootstrap 2-sample tests for both means and proportions but it turned
> out that it only works for the mean.
>
> Thanks again,
> Janh
>
> On Wed, Nov 28, 2018 at 12:38 PM Rui Barradas <ruipbarradas using sapo.pt>
> wrote:
>
> > Hello,
> >
> > What have you tried?
> > Reproducible example please.
> >
> > http://adv-r.had.co.nz/Reproducibility.html
> >
> >
> https://stackoverflow.com/questions/5963269/how-to-make-a-great-r-reproducible-example
> > https://www.r-bloggers.com/minimal-reproducible-examples/
> >
> >
> > Rui Barradas
> >
> > Às 22:33 de 27/11/2018, Janh Anni escreveu:
> > > Hello R Experts!
> > >
> > > Does anyone know of a relatively straightforward way to bootstrap
> > > hypothesis tests for proportion in R?
> > >
> > > Thanks in advance!
> > >
> > > Janh
> > >
> > >       [[alternative HTML version deleted]]
> > >
> > > ______________________________________________
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> > > 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]]
>
> ______________________________________________
> R-help using r-project.org mailing list -- To UNSUBSCRIBE and more, see
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> PLEASE do read the posting guide
> http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>

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