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The Split Plot on a RCB
Field marks:
- Main experimental subjects of a RCB are divided further into
additional independent units (subplots) to which another set of treatments are randomly assigned.
- Main treatments are assigned at random within blocks of adjacent subjects, each treatment once per
block.
- The number of blocks is the number of replications.
- Any main treatment can be adjacent to any other treatment, but not to the same treatment within the block.
Sample layout:
Different colors represent different treatments; each vertical row represents a block. Top colors represent
assignment of main effects or treatments; bottom colors subplot treatments. There are 4 blocks (I-IV) each of 3 main treatments (A-C) divided into 3 further treatments (a-c).

Block-I Block-II Block-III Block-IV
Aa Ab Ac Bc Bb Ba Ab Ac Aa Ca Cc Cb
Cc Ca Cb Ab Ac Aa Bc Ba Bb Aa Ac Ab
Bb Bc Ba Cb Ca Cc Cc Ca Cb Ba Bb Bc
ANOVA table format:
Source of variation |
Degrees of freedoma |
Sums of squares (SSQ) |
Mean square (MS) |
F |
| Blocks (B) |
b-1 |
SSQB |
SSQB/(b-1) |
MSB/MSEm |
| Treatments (Tr) |
t-1 |
SSQTr |
SSQTr/(t-1) |
MSTr/MSEm |
| Error-main plots (Em) |
(t-1)*(b-1) |
SSQEm |
SSQEm/((t-1)*(b-1)) |
|
| Subplots (S) |
s-1 |
SSQS |
SSQS/(s-1) |
MSS/MSEs |
| Subplots X Treatments (SxT) |
(t-1)*(s-1) |
SSQSxT |
SSQSxT/(t-1)*(s-1) |
MSSxT/MSEs |
| Error-subplots (Es) |
t*(b-1)*(s-1) |
SSQEs |
SSQEs/(t*(b-1)*(s-1)) |
|
| Total (Tot) |
t*b*s-1 |
SSQTot |
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| awhere t=number of main treatments, b=number of blocks and s=number of subplots. |
Sample ANOVA table:
Source of variation |
Degrees of freedom |
Sums of squares (SSQ) |
Mean square (MS) |
F |
| Blocks |
3 |
64.33 |
21.44 |
2.16a |
| Treatments |
2 |
201.86 |
100.93 |
10.17b |
| Error-main plots |
6 |
59.53 |
9.92 |
|
| Subplots |
2 |
193.45 |
96.73 |
15.00c |
| Subplots X Treatments |
4 |
25.38 |
6.35 |
0.98d |
| Error-subplots |
18 |
116.08 |
6.45 |
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| Total |
35 |
660.63 |
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aF test with 3,6 degrees of freedom at P=0.05 is 4.76
bF test with 2,6 degrees of freedom at P=0.05 is 5.14
cF test with 2,18 degrees of freedom at P=0.05 is 3.55
dF test with 4,18 degrees of freedom at P=0.05 is 2.93
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Sample SAS GLM statements:
PROC GLM;
CLASS BLOCKS TREATS SUBPLOTS;
MODEL WHATEVER = BLOCKS TREATS TREATS*BLOCKS SUBPLOTS
SUBPLOTS*TREATS;
TEST H = BLOCKS TREATS E = TREATS*BLOCKS;
RUN;
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Thursday, August 17, 2000
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