It is mentioned that repeated measure anova may be very similar to split-plot design: Is a "split plot" ANOVA with two factors the same as two-way ANOVA with repeated measures in one factor?
http://influentialpoints.com/Training/Split_plot_and_repeated_measures_ANOVA_use_and_misuse.htm
Is it possible to use following split plot analysis to the last example (rat liver glycogen vs food) of anova on this page: http://www.personal.psu.edu/mar36/stat_461/split_plot/split_plot.html
> library(agricolae)
> with(mydf, ssp.plot(rat, food, prep, method, glycogen))
ANALYSIS SPLIT-SPLIT PLOT: glycogen
Class level information
food : T1 T2 T3
prep : P1 P2
method : A B
rat : Remy Templeton Scabbers Splinter Nicodemus Rizzo
Number of observations: 48
Analysis of Variance Table
Response: glycogen
Df Sum Sq Mean Sq F value Pr(>F)
rat 5 4381.4 876.27 262.553 4.798e-06 ***
food 1 35.0 35.02 10.493 0.02297 *
Ea 5 16.7 3.34
prep 1 54.2 54.19
food:prep 5 24.9 4.97
Eb
method 5 523.4 104.67
method:food
method:prep
method:food:prep
Ec
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
cv(a) = 1.3 %, cv(b) = NA %, cv(c) = NA %, Mean = 138.8542
The output seems all right though the P value are different.
