Tks for you attention, i want to know Bonferroni, Tukey's, Sheffe 95%-condence intervals for coefficients in linear regression, for example, fit <- lm(y ~ x1 + x2) confint(fit) would give b0,b1,b2 95%CIs, but i want to get Bonferroni, Tukey's, Sheffe 95%-condence intervals for these coefficients. Do anyone happen to know it?
At 2016-05-05 03:55:45, "David Winsemius" <dwinsem...@comcast.net> wrote: > >> On May 4, 2016, at 7:45 AM, super <desolato...@163.com> wrote: >> >> >> Dear experts, >> I have a problem in compute Bonferroni,Tukey's,Sheffe 95%-condence >> intervals for coefficients B1,B2,B3 in linear regression using R? how can i >> do it? I only know how to compute these three cofindence intervals in >> multicomparsion by using multcomp package, and i am search a lot for how to >> comupte the three CIs for linear regression coefficients but without any >> useful information, so, plz help me ~ > >Your question does not detail where the 'confint' function in pkg:multcop is >letting you down. After the first few lines of the first example I type: > >confint(wht) > >#--------------- >And get: > > Simultaneous Confidence Intervals > >Multiple Comparisons of Means: Tukey Contrasts > > >Fit: aov(formula = breaks ~ wool + tension, data = warpbreaks) > >Quantile = 2.4155 >95% family-wise confidence level > > >Linear Hypotheses: > Estimate lwr upr >M - L == 0 -10.0000 -19.3536 -0.6464 >H - L == 0 -14.7222 -24.0758 -5.3687 >H - M == 0 -4.7222 -14.0758 4.6313 > > >Subsequent examples on that page use linear regression models as there >starting point. > >-- > >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.
