Strip-split-plot experiment of rice
A strip-split-plot experiment with three reps, genotype as the horizontal strip, nitrogen fertilizer as the vertical strip, and planting method as the subplot factor.
yield
grain yield in kg/ha
planting
planting factor, P1=broadcast, P2=transplanted
rep
rep, 3 levels
nitro
nitrogen fertilizer, kg/ha
gen
genotype, G1 to G6
col
column
row
row
Note, this is a superset of the the 'gomez.stripplot' data.
Used with permission of Kwanchai Gomez.
Gomez, K.A. and Gomez, A.A.. 1984, Statistical Procedures for Agricultural Research. Wiley-Interscience. Page 155.
## Not run: library(agridat) data(gomez.stripsplitplot) dat <- gomez.stripsplitplot # Layout libs(desplot) desplot(dat, gen ~ col*row, out1=rep, col=nitro, text=planting, cex=1, main="gomez.stripsplitplot") # Gomez table 4.19, ANOVA of strip-split-plot design dat <- transform(dat, nf=factor(nitro)) m1 <- aov(yield ~ nf * gen * planting + Error(rep + rep:nf + rep:gen + rep:nf:gen), data=dat) summary(m1) # There is a noticeable linear trend along the y coordinate which may be # an artifact that blocking will remove, or may need to be modeled. # Note the outside values in the high-nitro boxplot. libs("HH") interaction2wt(yield ~ nitro + gen + planting + row, dat, x.between=0, y.between=0, x.relation="free") ## End(Not run)
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