[R] question about custom contrasts in ANOVA
Scot W McNary
smcnary at charm.net
Thu Aug 25 05:43:48 CEST 2005
Hi,
I have a problem in which I have test score data on students from a number
of schools. In each school I have a measure of whether or not they
received special programming. I am interested in the interaction between
school and attendance to the programming, but in a very select set of
comparisons. I'd like to cast the test as one in which students in each
school who attend are compared with students who don't across all schools.
So, I would be comparing school 1 attenders with school 1 non-attenders,
school 2 attenders with school 2 non-attenders, etc. The reason for the
custom contrast is that the between school comparisons (e.g., school 1
attenders vs. school 2 non-attenders) are of less interest.
This seems to require a custom contrast statement for the interaction
term. I have a toy example that seems to work as it should, but wonder if
I've correctly created the contrast needed.
Here is a toy example (code put together from bits taken from MASS ch 6,
and various R-help postings, (e.g.,
http://finzi.psych.upenn.edu/R/Rhelp02a/archive/49077.html)):
# toy interaction contrast example, 10 schools, 100 kids, 5 attenders (1)
# and 5 non-attenders (2) in each school
# make the data
school <- gl(10, 10)
attend <- gl(2, 5, 100)
# creates an interaction with schools 6 and 7
y <- c(sample(seq(450, 650, 1), 50), rep(c(rep(650, 5), rep(450, 5)), 2),
sample(seq(450, 650, 1), 30))
# anova
summary(aov(y ~ school * attend))
# graphically
Means <- tapply(y, list(school, attend), mean)
plot(Means[,1], col="red", type = "l", ylim = c(400,700))
points(Means[,2], col="blue", type = "l")
# create contrasts for hypothesis of interest
# school i attend j - school i attend j'
# for all schools
sxa <- interaction(school, attend)
sxam <- as.matrix(rbind(diag(1,10), diag(1,10) * -1))
contrasts(sxa) <- sxam
summary(aov(y ~ sxa), split=list(sxa=1:10), expand.split = T)
The actual problem has a few more schools, other covariates, considerably
more students, and is somewhat unbalanced.
Thanks,
Scot
--
Scot W. McNary email:smcnary at charm.net
More information about the R-help
mailing list