R help - Jul 2002 - Which function to use for multiple comparison?

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Hi,

This is my first time to use R. I'm wondering which function I can use to do
multiple comparison. I have an lm object and want to do multiple comparison
based on this object. Splus has a function multicomp() but I could not find
a similar one in R. Thanks in advance. Really appreciate it.

Julie

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On Mon, 8 Jul 2002, Julie Cong wrote:
>        [Moderator: This was erronously sent to R-announce,
> 		   and filtered fortunately ]
>
> Hi,
>
> This is my first time to use R. I'm wondering which function I can use
to do
> multiple comparison. I have an lm object and want to do multiple comparison
> based on this object. Splus has a function multicomp() but I could not find
> a similar one in R. Thanks in advance. Really appreciate it.
>
At the moment the multiple comparisons features in R are a bit limited.

   p.adjust does a number of corrections of p-values that are very general

   pairwise.t.test is another interface to these same methods

   TukeyHSD provides Tukey's Honestly Significant Difference

help.search("comparison") suggests that the npmc package might also be
helpful.

	-thomas


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>On Mon, 8 Jul 2002, Julie Cong wrote:
>
> >        [Moderator: This was erronously sent to R-announce,
> >                  and filtered fortunately ]
> >
> > Hi,
> >
> > This is my first time to use R. I'm wondering which function I can
use
> to do
> > multiple comparison. I have an lm object and want to do multiple
comparison
> > based on this object. Splus has a function multicomp() but I could not
find
> > a similar one in R. Thanks in advance. Really appreciate it.
> >
I believe that a recent package ("multcomp") has been uploaded to
CRAN.  It
depends on another package ("mvtnorm").  Both are by the same 
authors.  While they are not identical to S-Plus' "multicomp",
they are
similar enough that you can *do* several different multiple comparison 
procedures on various lm and aov objects.


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> Thomas Lumley wrote:
>
> > On Mon, 8 Jul 2002, Julie Cong wrote:
> >
> > >        [Moderator: This was erronously sent to R-announce,
> > >                  and filtered fortunately ]
> > >
> > > Hi,
> > >
> > > This is my first time to use R. I'm wondering which function
I can use to do
> > > multiple comparison. I have an lm object and want to do multiple
comparison
> > > based on this object. Splus has a function multicomp() but I
could not find
> > > a similar one in R. Thanks in advance. Really appreciate it.
> > >
> >
> > At the moment the multiple comparisons features in R are a bit
limited.
> >
> >    p.adjust does a number of corrections of p-values that are very
general
> >
> >    pairwise.t.test is another interface to these same methods
> >
> >    TukeyHSD provides Tukey's Honestly Significant Difference
> >
> > help.search("comparison") suggests that the npmc package
might also be
> > helpful.
> >
> >         -thomas
> >
> >
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> > r-help mailing list -- Read
http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html
> > Send "info", "help", or "[un]subscribe"
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stat.math.ethz.ch
> >
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>
> I think that the package multtest which must go with version R-1.5.0 is
relatively
> complet
> in term of multiple comparisons based on t-test(paired or not), Wilcoxon
> test(paired or not)
> F test with the the adjustment of p_values.
>
> Best regards.
>
> Aboubakar Maitournam.
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>        [Moderator: This was erronously sent to R-announce, 
> 		   and filtered fortunately ]
> 
> Hi,
> 
> This is my first time to use R. I'm wondering which function I can use
to do
> multiple comparison. I have an lm object and want to do multiple comparison
> based on this object. Splus has a function multicomp() but I could not find
> a similar one in R. Thanks in advance. Really appreciate it.
> 
R base has `TukeyHSD' for Tukey CI's. Some other procedures
(e.g. Dunnett) are available in package `multcomp'. In addition, the
`multtest' package offers resampling based procedures (available at
www.bioconductor.org)

Torsten
> Julie
> 
>
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> r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html
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>
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> 
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