This is failing because it is a saturated model and the contrast
package tries to do a t-test (instead of a z test). I can add code to
do this, but it will take a few days.
Max
On Fri, Oct 28, 2011 at 2:16 PM, John Sorkin
jsor...@grecc.umaryland.edu wrote:
Forgive my resending this post. To
John,
There is a good example of one way of doing this in multcomp-examples.pdf
of package multcomp. See pages 8 to 10.
Regards, Mark.
-
Mark Difford (Ph.D.)
Research Associate
Botany Department
Nelson Mandela Metropolitan University
Port Elizabeth, South Africa
--
View this message in
Forgive my resending this post. To data I have received only one response
(thank you Bert Gunter), and I still do not have an answer to my question.
Respectfully,
John
Windows XP
R 2.12.1
contrast package.
I am trying to understand how to create contrasts for a model that contatains
an
Is there a specific reason why you insist on using the contrast library? If
not:
# Create 2x2 contingency table.
counts=c(50,50,30,70)
row -gl(2,2,4)
column - gl(2,1,4)
mydata - data.frame(row,column,counts)
print(mydata)
#Create contrasts
row-factor(row)
column-factor(column)
Daniel,
I want to use the contrast library because I want to be able to specify any
arbitrary post-hoc contrast, e.g. Given a 3x2 table describing smoking (never,
former, current) by sex (male,female), I can use a post-hoc contrast to compare
the fraction of female former smokers to the
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