> 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
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