On Aug 17, 2015, at 9:48 AM, Sam Steingold wrote: > Hi, > I am confused by the binom.power - I cannot figure out how to use it. > E.g., I have "normal success rate" 0.1% (i.e., p=0.001). > How many successes do I need to observe per n=c(100,1000,10000,100000) > trials to reject the normalcy hypothesis with confidence 95%?
> I think binom.power should be able to compute that but I cannot figure > out the meaning of its many parameters (as well as its return value). > Thanks. > > PS. Would you prefer to answer this on SO or CV? This would be a better fit with the on-topic criteria for CV, since it appears the problem is at the very least a lack of understanding of the principles of power analysis rather than primarily a coding difficulty. You might mention that you hoped to use a function by the name of `binom.power` in some non-base package (which you should offer). -- David Winsemius Alameda, CA, USA ______________________________________________ R-help@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.
