Hi there,
I have a experimental design related question. I have done a experiment with
3 factors. The design matrix is similar to:
data.frame(Factor.1 = rep(rep(0:2, each = 3),3), Factor.2 =
rep(c("U","S","N"), 9), Factor.3 = rep(0:2, each = 9))
Factor.1 Factor.2 Factor.3
1 0 U 0
2 0 S 0
3 0 N 0
4 1 U 0
5 1 S 0
6 1 N 0
7 2 U 0
8 2 S 0
9 2 N 0
10 0 U 1
11 0 S 1
12 0 N 1
13 1 U 1
14 1 S 1
15 1 N 1
16 2 U 1
17 2 S 1
18 2 N 1
19 0 U 2
20 0 S 2
21 0 N 2
22 1 U 2
23 1 S 2
24 1 N 2
25 2 U 2
26 2 S 2
27 2 N 2
The Factor.2 indicates the type of a fertilizer, such as urea, and the
Factor.3 indicates the weight of the fertilizer. So the treatments with
Factor.3 == 0 at each levels of Factor.1 are same. That means No.1, No.2 and
No.3 are same, No.4, No.5 and No.6 are same, and No.7, No.8 and No.9 are
same. Thus, in the real experiment, those treatments were not performed as
stated in the design matrix. For instance, only No.1, No.5 and No.9 are
performed.
In the case, how to code the factor for ANOVA? I really appreciate any
comments and suggestions. Thanks in advance.
Best regards,
Jinsong