Zembower, Kevin wrote: > I'm trying to replicate some of the examples from my textbook in R (my > text uses Minitab). In this problem, I'm trying to construct a 95% > confidence interval for these distance measurements [1]: > > >> # Case Study 7.4.1, p. 483 >> x <- scan() >> > 1: 62 52 68 23 34 45 27 42 83 56 40 > 12: > Read 11 items > >> alpha<-.95 >> mean(x) + qt(c((1-alpha)/2, 1-((1-alpha)/2)), df=length(x)-1) * sd(x) >> > / sqrt(length(x)) > [1] 36.21420 60.51307 > > > Are confidence intervals with the t distribution constructed using this > type of equation, or am I overlooking a more concise, 'canned' approach > that's already been programmed? Any suggestions on simplifying this? > > Thanks for all your advice and help. > You mean like t.test(x)?
-- O__ ---- Peter Dalgaard Øster Farimagsgade 5, Entr.B c/ /'_ --- Dept. of Biostatistics PO Box 2099, 1014 Cph. K (*) \(*) -- University of Copenhagen Denmark Ph: (+45) 35327918 ~~~~~~~~~~ - ([EMAIL PROTECTED]) FAX: (+45) 35327907 ______________________________________________ R-help@r-project.org mailing list 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.
