agridat (version 1.23)

cochran.factorial: Factorial experiment of beans, 2x2x2x2

Description

Factorial experiment of beans, 2x2x2x2.

Usage

data("cochran.factorial")

Format

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

Details

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.

Examples

if (FALSE) {

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")

}