calculating t-score/t-stats as my zscores
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
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