help with binom.power
(offline, since this is about statistics, not R)
1. The phrasing of your question ("reject hypothesis with 95%
confidence" instead of "at 5% level") indicates some statistical
confusion, so you may wish to consult a local statistician or SO for
clarification.
2. Note that using qbinom(in the stats package that is usually
automatically available)
qbinom(.025,1000,.001,lower=FALSE)
[1] 3 i.e. a one sided test with size .025 rejects P <= .1% if the number of successes out of 1000 is 4 or more -- i.e. if the observed rate in a sample of 1000 is .4% or more (using the particular binomial approximation referenced in ?qbinom, which is probably slightly different than that used in the function/package you asked about). If that is not enough to clarify, post on SO or consult locally. Do not reply to me. (and, of course, feel free to completely disregard this). Cheers, Bert Bert Gunter "Data is not information. Information is not knowledge. And knowledge is certainly not wisdom." -- Clifford Stoll
On Mon, Aug 17, 2015 at 9:48 AM, Sam Steingold <sds at gnu.org> 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? -- Sam Steingold (http://sds.podval.org/) on darwin Ns 10.3.1348 http://www.childpsy.net/ http://palestinefacts.org http://camera.org http://truepeace.org http://americancensorship.org http://memri.org One can find Holy Grail or Higgs boson, but not the second sock.
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