An embedded and charset-unspecified text was scrubbed... Name: not available URL: <https://stat.ethz.ch/pipermail/r-help/attachments/20130606/19fc887e/attachment.pl>
sample size determination - comparing means for different size samples
3 messages · Rebecca Greenblatt, David Winsemius, Rui Barradas
This is a duplicate question, right?
On Jun 6, 2013, at 12:58 PM, Rebecca Greenblatt wrote:
Looking to determine sample sizes for both my experimental and control groups (I want only a small portion of my participants in my experimental condition) in order to compare population means. I would be able to estimate standard deviation beforehand. I'm using the bpower function from the Hmisc R package, specifically bsamsize to compare population proportions, but was wondering if there was an equivalent function for comparing means. -- Rebecca Greenblatt [[alternative HTML version deleted]]
David Winsemius Alameda, CA, USA
Hello, At an R prompt, type ?power.t.test Hope this helps, Rui Barradas Em 06-06-2013 20:58, Rebecca Greenblatt escreveu:
Looking to determine sample sizes for both my experimental and control groups (I want only a small portion of my participants in my experimental condition) in order to compare population means. I would be able to estimate standard deviation beforehand. I'm using the bpower function from the Hmisc R package, specifically bsamsize to compare population proportions, but was wondering if there was an equivalent function for comparing means.