| cochran.lattice {agridat} | R Documentation | 
Balanced lattice experiment in cotton
Description
Balanced lattice experiment in cotton
Usage
data("cochran.lattice")Format
A data frame with 80 observations on the following 5 variables.
- y
- percent of affected flower buds 
- rep
- replicate 
- row
- row 
- col
- column 
- trt
- treatment factor 
Details
The experiment is a balanced lattice square with 16 treatments in a 4x4 layout in each of 5 replicates. The treatments were applied to cotton plants. Each plot was ten rows wide by 70 feet long (about 1/18 of an acre). (Estimated plot width is 34.5 feet.) Data were collected from the middle 4 rows. The data are the percentages of squares showing attack by boll weevils. A 'square' is the name given to a young flower bud.
The plot orientation is not clear.
Source
William G. Cochran, Gertrude M. Cox. Experimental Designs, 2nd Edition. Page 490.
Originally from: F. M. Wadley (1946). Incomplete block designs in insect population problems. J. Economic Entomology, 38, 651–654.
References
Walter Federer. Combining Standard Block Analyses With Spatial Analyses Under a Random Effects Model. Cornell Univ Tech Report BU-1373-MA. https://hdl.handle.net/1813/31971
Examples
## Not run: 
library(agridat)
data(cochran.lattice)
dat <- cochran.lattice
libs(desplot)
desplot(dat, y~row*col|rep,
        text=trt, # aspect unknown, should be 2 or .5
         main="cochran.lattice")
# Random rep,row,column model often used by Federer
libs(lme4)
dat <- transform(dat, rowf=factor(row), colf=factor(col))
m1 <-  lmer(y ~ trt + (1|rep) + (1|rep:row) + (1|rep:col), data=dat)
summary(m1)
## End(Not run)