Multi-environment trial of corn — corsten.interaction • agridat

The data is the yield (kg/acre) of 20 genotypes of corn at 7 locations.

Format

A data frame with 140 observations on the following 3 variables.

gen: genotype, 20 levels
loc: location, 7 levels
yield: yield, kg/acre

Details

The data is used by Corsten & Denis (1990) to illustrate two-way clustering by minimizing the interaction sum of squares.

In their paper, the labels on the location dendrogram have a slight typo. The order of the loc labels shown is 1 2 3 4 5 6 7. The correct order of the loc labels is 1 2 4 5 6 7 3.

Used with permission of Jean-Baptiste Denis.

Source

L C A Corsten and J B Denis, (1990). Structuring Interaction in Two-Way Tables By Clustering. Biometrics, 46, 207--215. Table 1. https://doi.org/10.2307/2531644

Examples

# \dontrun{

library(agridat)
data(corsten.interaction)
dat <- corsten.interaction

libs(reshape2)
m1 <- melt(dat, measure.var='yield')
dmat <- acast(m1, loc~gen)

# Corsten (1990) uses this data to illustrate simultaneous row and
# column clustering based on interaction sums-of-squares.
# There is no (known) function in R to reproduce this analysis
# (please contact the package maintainer if this is not true).
# For comparison, the 'heatmap' function clusters the rows and
# columns _independently_ of each other.
heatmap(dmat, main="corsten.interaction")

# }