Hello, Mauricio, maybe pwr.t2n.test() in package pwr or/and n.ttest() in package samplesize do what you need/want.
Hth -- Gerrit --------------------------------------------------------------------- Dr. Gerrit Eichner Mathematical Institute, Room 212 gerrit.eich...@math.uni-giessen.de Justus-Liebig-University Giessen Tel: +49-(0)641-99-32104 Arndtstr. 2, 35392 Giessen, Germany Fax: +49-(0)641-99-32109 http://www.uni-giessen.de/eichner --------------------------------------------------------------------- Am 20.12.2016 um 00:31 schrieb David Winsemius:
On Dec 19, 2016, at 1:47 PM, Mauricio Cornejo via R-help <r-help@r-project.org> wrote: Is there a function similar to stats::power.t.test that can handle unequal variances from two samples? I noticed that stats::t.test has an argument for indicating whether or not to treat the two sample variances as equal. Wondering why stats::power.t.test doesn’t have that option. Thanks,Mauricio [[alternative HTML version deleted]]Because R was developed by statisticians for statisticians and they assumed those other statisticians would know how to extend its functions when needed. But R-help is not advertised as the place to ask such questions when you don't have the statistical skills. (You might want to look at the code of `t.test` to see how you might construct appropriate arguments for `power.t.test` in the situation you imagine. Seems to me it should be fairly straightforward. `power.t.test` is built around the non-central t-distribution and solves a uniroot problem for the missing parameter among n, delta, power, sd, and sig.level, given the other 4 parameters.)
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