corsten.interaction: Multi-environment trial of corn
In kwstat/agridat: Agricultural Datasets

corsten.interaction

R Documentation

Multi-environment trial of corn

Description

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

## Not run: 

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")


## End(Not run)

kwstat/agridat documentation built on Nov. 2, 2024, 6:19 a.m.