Dear all,
I am trying to using a mixed-design ANOVA to analyze my data. I have two
between subject variables: location (2 different locations) and age group
(young and old), and one within-subject variable: valence (positive,
neutral, negative).
I am looking at an Stevens(one between, two within) in Notes on the use of R
for psychology experiments and questionnaires (P34 in this article).
In Stevens' example, he first create a matrix and put the data in a
multivariate format using cbind.data.frame() function.
Ela.mat <- matrix (c(19,.....28), nrow=16, byrow=T)
Ela.mul <- cbind.data.frame(subj=1:16, gp=factor(rep(1:2,rep(8,2))),
Ela.mat)
dimnames(Ela.mul)[[2]] <-
c("subj","gp","d11","d12","d13","d21","d22","d23")
My data includes 447 data points:
5,4,5,
2,1,4,
4,7,8,
0,4,5,
3,1,7,
1,4,2,
3,2,5,
2,5,6,
4,2,6,
......
The three columns are positive, neutral and negative. First 31 rows are
Young* location 1, next 39 Old* location1, next 43 Young* location2, and
the final 36 Old *location2.
I have 2 grouping variables and thus 4 uneven groups. Any suggestion for how
I can group them in cbind.data.frame()?
Or is there any suggestion for how to analyze in this 3 (valence: positive,
negative, neutral) X 2 (age: young vs. old) X 2 (location: a vs. b) mixed
Analysis of Variance (ANOVA)?
Thank you very much. Any and all help will be immensely appreciated.
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