Windows XP
R2.8.1
I am running an balanced aov, in which Time has 4 levels, Group has 2
levels:
fit2<-aov(Post ~ as.factor(Time)
+as.factor(Group)+as.factor(Group*Time)+Error(SS), alldata)
I would like to get a p value for each level of time, each level of
Group and each level of Group*Time. How can I do this? I get this, which
appears to be omnibus p values for the factors:
Error: SS
Df Sum Sq Mean Sq
as.factor(Group) 1 12.918 12.918
Error: Within
Df Sum Sq Mean Sq F value Pr(>F)
as.factor(Time) 3 19.8486 6.6162 7.5652 0.002601 **
as.factor(Group) 1 3.4074 3.4074 3.8961 0.067109 .
as.factor(Group * Time) 3 11.0076 3.6692 4.1955 0.024195 *
Residuals 15 13.1183 0.8746
---
Signif. codes: 0 ?***? 0.001 ?**? 0.01 ?*? 0.05 ?.?
0.1 ? ? 1
Thanks,
John
John David Sorkin M.D., Ph.D.
Chief, Biostatistics and Informatics
University of Maryland School of Medicine Division of Gerontology
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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aov p values for levels of a factor.
2 messages · John Sorkin, Dieter Menne
John Sorkin wrote:
I am running an balanced aov, in which Time has 4 levels, Group has 2 levels: fit2<-aov(Post ~ as.factor(Time) +as.factor(Group)+as.factor(Group*Time)+Error(SS), alldata) I would like to get a p value for each level of time, each level of Group and each level of Group*Time. How can I do this? I get this, which appears to be omnibus p values for the factors:
Whatever method you use, I recommend to convert to factors in the data frame and leave out the as.factor, because contrast can look messy otherwise and you could be caught by typos when defining these. For lm, use estimable in package gmodels; after a slight reformulation, you could also use contrast in Frank Harrell's Design package. Dieter
View this message in context: http://www.nabble.com/aov---p-values-for-levels-of-a-factor.-tp24977991p24985429.html Sent from the R help mailing list archive at Nabble.com.