To understand why this works, you need to understand the math in a
more general formulation. Ordinary least squares can be written in
matrix / vector notation as follows:
y = X %*% b + e,
where y and e are N x 1 vectors, X is an N x k matrix, and b is a k x 1
vector. In
I can't answer your question about 'aov', but have you tried the
following with 'lme':
lme(response~A*B*C,random=~1|subject)
This assumes that A, B, and C are fixed effects, either continuous
variables or factors present at only a very few levels whose effects are
Well nobody answered :-(
Nobody on R-help is doing anovas I guess -- I don't blame them! (It's just for
aggies.)
In the absence of any response and for no good reason I am doing:
fitn1 - aov(amplitude ~ stereo*site*stimulus + Error(subject), stereon1) This
is
Bill Venables's way.
And when the
I have 2 questions on ANOVA with 1 between subjects factor and 2 within factors.
1. I am confused on how to do the analysis with aov because I have seen two
examples
on the web with different solutions.
a) Jon Baron (http://www.psych.upenn.edu/~baron/rpsych/rpsych.html) does
6.8.5 Example 5:
Hi,
I have another problem, can you help?
When i type:
library(RODBC)
a-odbcConnect(oracle)
sqlQuery(a,select DISTINCT(DOENT_ID) from EPISGDHS where (VALFACT
BETWEEN 100 AND 50))
Comes the error:
[1] S1000 904 [unixODBC][Easysoft][Oracle]ORA-00904: \DOENT_ID\: invalid
identifier at
