calculating t-score/t-stats as my zscores

Thank you so much! I mostly worry which of those procedures is the
closest to the z-score
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

?s 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)
<malone at 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 at sapo.pt> wrote:
Hello,

By z-scores do you mean function help('scale')?

Hope this helps,

Rui Barradas

?s 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 at 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

?s 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 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.

--
Patrick S. Malone, Ph.D., Malone Quantitative
NEW Service Models: http://malonequantitative.com

He/Him/His

calculating t-score/t-stats as my zscores

Thread (13 messages)