I'm looking to analyze a large data set: a within-Ss 2*2*1500 design
with 20 Ss. However, aov() gives me an error, reproducible as follows:
id = factor(1:20)
a = factor(1:2)
b = factor(1:2)
d = factor(1:1500)
temp = expand.grid(id=id, a=a, b=b, d=d)
temp$y = rnorm(length(temp[, 1])) #generate some random DV data
this_aov = aov(
y~a*b*d+Error(id/(a*b*d))
, data=temp
)
While yields the following error:
"
Error in model.matrix.default(mt, mf, contrasts) :
allocMatrix: too many elements specified
"
Any suggestions?
Mike
--
Mike Lawrence
Graduate Student, Department of Psychology, Dalhousie University
www.memetic.ca
"The road to wisdom? Well, it's plain and simple to express:
Err and err and err again, but less and less and less."
- Piet Hein
______________________________________________
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
