[R] multiple comparison tests & simultaneous multiple plots
Douglas Bates
bates at stat.wisc.edu
Fri Aug 4 04:03:59 CEST 2000
Peter Dalgaard BSA <p.dalgaard at biostat.ku.dk> writes:
> Steve Arthur <sarthur at protogene.com> writes:
>
> > Does R support multiple comparison tests (Tukey, Bonferroni, etc...) and
> > are they easy to implement?
>
> Bonferroni is in pairwise.t.test. The studentized range distribution
> is there (ptukey & friends) and doing Tukey multiple comparisons is
> relatively trivial with that in hand *provided* the groups have the
> same size and the variances are equal. I believe Doug Bates recently
> rolled up a function for Tukey comparisons with the popular
> approximation for unequal group sizes?
It's in the Devore5 contributed package on CRAN.
> library(Devore5)
> example(Tukey)
Tukey> data(xmp10.01)
Tukey> fm1 <- aov(strength ~ type, data = xmp10.01)
Tukey> Tukey(fm1)
Tukey multiple comparisons of means
95% family-wise confidence level
Fit: aov(formula = strength ~ type, data = xmp10.01)
$type
diff lwr upr
B-A 43.93333 -22.53671 110.403377
C-A -14.93333 -81.40338 51.536711
D-A -150.98333 -217.45338 -84.513289
C-B -58.86667 -125.33671 7.603377
D-B -194.91667 -261.38671 -128.446623
D-C -136.05000 -202.52004 -69.579956
Tukey> Tukey(fm1, ord = TRUE, conf = 0.9)
Tukey multiple comparisons of means
90% family-wise confidence level
factor levels have been ordered
Fit: aov(formula = strength ~ type, data = xmp10.01)
$type
diff lwr upr
C-D 136.05000 77.9216830 194.17832
A-D 150.98333 92.8550163 209.11165
B-D 194.91667 136.7883497 253.04498
A-C 14.93333 -43.1949837 73.06165
B-C 58.86667 0.7383497 116.99498
B-A 43.93333 -14.1949837 102.06165
--
Douglas Bates bates at stat.wisc.edu
Statistics Department 608/262-2598
University of Wisconsin - Madison http://www.stat.wisc.edu/~bates/
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