stats::power.t.test error
"...plausible sample sizes i.e. integers." ?? f(...) = function that returns a real. ceiling(f(...)) = function that returns an integer. The problem is the "plausible" part. Cheers, Bert 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 Tue, Oct 15, 2019 at 3:11 AM Witold E Wolski <wewolski at gmail.com> wrote:
Dear Peter, Yes, It is a technical issue and a matter of diddling around. And I agree with your comment regarding the 2 observations. I have several thousands variance estimates for which I need to compute the sample sizes automatically. Using try statements is typically the last thing I would like to resort too. Is there an alternative implementation of power.t.test on CRAN which could the diddling for me and return plausible sample sizes i.e. integers. best regards Witek On Fri, 4 Oct 2019 at 16:28, peter dalgaard <pdalgd at gmail.com> wrote:
This is mainly a technical issue with uniroot trying to go outside of
its interval: (2, 1e7)
It is fairly easy to find an approximate solution by diddling a little
by hand:
power.t.test(delta = 0.5849625, sd=0.01, n=1.04, sig.level=0.05)$power
[1] 0.8023375 Notice, however, that 1.04 observations in each group makes no sense at
all. In order to actually do a t-test you need at least 2 observations per group (since we assume equal group sizes) or you have no variance estimate. Already at sd=0.1, you are crossing the n=2 border, so for any smaller sd, you will just get higher power with n=2. (Also, anything with single-digit degrees of freedom for variance is probably expecting rather much regarding to Gaussian distribution of your data.)
-pd
On 4 Oct 2019, at 14:30 , Witold E Wolski <wewolski at gmail.com> wrote: Hi, power.t.test works for some range of input parameters but fails
otherwise.
power.t.test(delta = 0.5849625, sd=0.1, power=0.8, sig.level=0.05)$n
[1] 1.971668
power.t.test(delta = 0.5849625, sd=0.05, power=0.8, sig.level=0.05)$n
[1] 1.620328
power.t.test(delta = 0.5849625, sd=0.01, power=0.8, sig.level=0.05)$n
Error in uniroot(function(n) eval(p.body) - power, c(2, 1e+07), tol =
tol, :
did not succeed extending the interval endpoints for f(lower) *
f(upper) <= 0
In addition: Warning message: In qt(sig.level/tside, nu, lower.tail = FALSE) : NaNs produced I guessing that sd is very small compared with delta, hence the problem. But what are allowed values (ratios) of delta and sd? Best Witek -- Witold Eryk Wolski
______________________________________________ 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. -- Peter Dalgaard, Professor, Center for Statistics, Copenhagen Business School Solbjerg Plads 3, 2000 Frederiksberg, Denmark Phone: (+45)38153501 Office: A 4.23 Email: pd.mes at cbs.dk Priv: PDalgd at gmail.com -- Witold Eryk Wolski ______________________________________________ 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.