I am trying to make the leap from an R users to an R aficionado . . .
I am trying to understand how add a column to the output of summary (and to
understand how summary() works).
I have run a glmer
fit0 <- glmer(Fall ~
Group+(1|PID),family=poisson(link="log"),data=data[data[,"Group"]!=0,])
and I want to perform adjusted multiple comparisons:
SumTukey <- summary(glht(fit0, linfct= mcp(Group="Tukey")))
which gives beautiful output:
> SumTukey
Simultaneous Tests for General Linear Hypotheses
Multiple Comparisons of Means: Tukey Contrasts
Fit: glmer(formula = Fall ~ Group + (1 | PID), data = data[data[,
"Group"] != 0, ], family = poisson(link = "log"))
Linear Hypotheses:
Estimate Std. Error z value Pr(>|z|)
2 - 1 == 0 0.5320 0.5075 1.048 0.717
3 - 1 == 0 0.6554 0.5000 1.311 0.551
4 - 1 == 0 0.9357 0.4655 2.010 0.181
3 - 2 == 0 0.1234 0.4174 0.296 0.991
4 - 2 == 0 0.4037 0.3754 1.075 0.700
4 - 3 == 0 0.2803 0.3651 0.768 0.867
(Adjusted p values reported -- single-step method)
I want to add a column to the output (unadjusted p-values), but I don't see how
this might be done. The output
is not a dataframe, nor is it a matix.
> class(SumTukey)
[1] "summary.glht" "glht"
It is some class of objects that I don't understand and know nothing
about. How can I add a column to the output of SumTukey [a.k.a.
summary(glht(fit0, linfct= mcp(Group="Tukey")))] ?
Thank you
John
John David Sorkin M.D., Ph.D.
Professor of Medicine
Chief, Biostatistics and Informatics
University of Maryland School of Medicine Division of Gerontology and Geriatric
Medicine
Baltimore VA Medical Center
10 North Greene Street
GRECC (BT/18/GR)
Baltimore, MD 21201-1524
(Phone) 410-605-7119
(Fax) 410-605-7913 (Please call phone number above prior to faxing)
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