cochran.factorial | R Documentation |
Factorial experiment of beans, 2x2x2x2.
data("cochran.factorial")
A data frame with 32 observations on the following 4 variables.
rep
rep factor
block
block factor
trt
treatment factor, 16 levels
yield
yield (pounds)
d
dung treatment, 2 levels
n
nitrogen treatment, 2 levels
p
phosphorous treatment, 2 levels
k
potassium treatment, 2 levels
Conducted by Rothamsted Experiment Station in 1936.
There were 4 treatment factors:
2 d dung levels: None, 10 tons/acre.
2 n nitrochalk levels: None, 0.4 hundredweight nitrogen per acre.
2 p superphosphate levels: None, 0.6 hundredweight per acre
2 k muriate of potash levels: None, 1 hundredweight K20 per acres.
The response variable is the yield of beans.
Cochran, W.G. and Cox, G.M. (1957), Experimental Designs, 2nd ed., Wiley and Sons, New York, p. 160.
## Not run:
library(agridat)
data(cochran.factorial)
dat <- cochran.factorial
# Ensure factors
dat <- transform(dat, d=factor(d), n=factor(n), p=factor(p), k=factor(k))
# Cochran table 6.5.
m1 <- lm(yield ~ rep * block + (d+n+p+k)^3, data=dat)
anova(m1)
libs(FrF2)
aliases(m1)
MEPlot(m1, select=3:6,
main="cochran.factorial - main effects plot")
## End(Not run)
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