[R] calculating t-score/t-stats as my zscores

Ana Marija @okov|c@@n@m@r|j@ @end|ng |rom gm@||@com
Wed May 6 16:54:03 CEST 2020


Thanks Patrick, so in conclusion this is fine?
z-score=Beta/StdErr

On Wed, May 6, 2020 at 9:52 AM Patrick (Malone Quantitative)
<malone using 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 <ruipbarradas using 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 <ruipbarradas using 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 using 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 using 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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