[R] how to compute Bonferroni, Tukey's, Sheffe 95%-condence intervals for coefficients B1, B2, B3 in linear regression?
David Winsemius
dwinsemius at comcast.net
Wed May 4 21:55:45 CEST 2016
> On May 4, 2016, at 7:45 AM, super <desolator88 at 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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