Thank you so much! I mostly worry which of those procedures is the
closest to the z-score
On Wed, May 6, 2020 at 10:05 AM Rui Barradas <ruipbarra...@sapo.pt> wrote:
>
> Hello,
>
> Another option is to use stats::t.test
>
> t.test(x)$statistic
>
> Or, if you want to test against a beta0 != 0,
>
> t.test(x, mu = beta0)$statistic
>
>
> But in this case the estimator is the estimator for the mean value.
>
> Hope this helps,
>
> Rui Barradas
>
> Às 15:54 de 06/05/20, Ana Marija escreveu:
> > Thanks Patrick, so in conclusion this is fine?
> > z-score=Beta/StdErr
> >
> > On Wed, May 6, 2020 at 9:52 AM Patrick (Malone Quantitative)
> > <mal...@malonequantitative.com> wrote:
> >>
> >> Guessing for Ana, but no, that's a different meaning. Beta/StdErr is a
> >> z statistic--a test statistic against (usually) the tails of the unit
> >> normal distribution. So like a t-test with infinite df.
> >>
> >>
> >> On Wed, May 6, 2020 at 10:41 AM Rui Barradas <ruipbarra...@sapo.pt> wrote:
> >>>
> >>> Hello,
> >>>
> >>> By z-scores do you mean function help('scale')?
> >>>
> >>> Hope this helps,
> >>>
> >>> Rui Barradas
> >>>
> >>> Às 15:31 de 06/05/20, Ana Marija escreveu:
> >>>> Hi Rui,
> >>>>
> >>>> Thank you for getting back to me. Is there is a better way to
> >>>> calculate Z scores if I have p values, SE and Beta?
> >>>>
> >>>> Thanks
> >>>> Ana
> >>>>
> >>>> On Wed, May 6, 2020 at 9:27 AM Rui Barradas <ruipbarra...@sapo.pt> wrote:
> >>>>>
> >>>>> Hello,
> >>>>>
> >>>>> That gives the *absolute* t-scores. If it's all you need/want, then the
> >>>>> answer is yes, you can.
> >>>>>
> >>>>> Hope this helps,
> >>>>>
> >>>>> Rui Barradas
> >>>>>
> >>>>> Às 14:28 de 06/05/20, Ana Marija escreveu:
> >>>>>> Hello,
> >>>>>>
> >>>>>> Can I apply the quantile function qt() this way?
> >>>>>> qt(pvals/2, 406-34, lower.tail = F)
> >>>>>> to get the T-scores?
> >>>>>>
> >>>>>> Thanks
> >>>>>> Ama
> >>>>>>
> >>>>>> ______________________________________________
> >>>>>> R-help@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@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.
> >>
> >>
> >>
> >> --
> >> Patrick S. Malone, Ph.D., Malone Quantitative
> >> NEW Service Models: http://malonequantitative.com
> >>
> >> He/Him/His
______________________________________________
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