Hi Marc,
I see what you are saying. I will try re-running the* boot.two.per*
function using 1's and 0's for the data and specifying mean as the
parameter and see what happens. I will report back. Thanks so much for
your kind assistance!
Janh
On Thu, Nov 29, 2018 at 7:07 PM Marc Schwartz wr
Hi,
I don't see Duncan's reply in the archive, but consider:
> 1 / 4
[1] 0.25
> mean(c(1, 0, 0, 0))
[1] 0.25
> 3 / 9
[1] 0.333
> mean(c(1, 1, 1, 0, 0, 0, 0, 0, 0))
[1] 0.333
Regards,
Marc Schwartz
> On Nov 29, 2018, at 6:57 PM, Janh Anni wrote:
>
> Hi Bert,
>
> You mean, just c
Hi Bert,
You mean, just compute the test specifying the mean as the parameter but
using 1's and 0's for the data? Also I don't get how a proportion is a
mean of 0/1 responses. Could you please elaborate? Thanks!
Janh
On Thu, Nov 29, 2018 at 6:45 PM Bert Gunter wrote:
> ... but as Duncan poi
... 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,
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 We
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
Hello R Experts!
Does anyone know of a relatively straightforward way to bootstrap
hypothesis tests for proportion in R?
Thanks in advance!
Janh
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