talbot.potato | R Documentation |
Yield and 14 trait scores for each of 9 potato varieties at 12 locations in UK.
data("talbot.potato.traits")
data("talbot.potato.yield")
The talbot.potato.yield
dataframe has 126 observations on the following 3 variables.
gen
genotype/variety
trait
trait
score
trait score, 1-9
The talbot.potato.yield
dataframe has 108 observations on the following 3 variables.
gen
genotype/variety
loc
location/center
yield
yield, t/ha
The talbot.potato.yield
dataframe contains mean tuber yields
(t/ha) of 9 varieties of potato at 12 centers in the United Kingdom
over five years 1983-1987. The following abbreviations are used for
the centers.
BU | Bush |
CA | Cambridge |
CB | Conon Bridge |
CC | Crossacreevy |
CP | Cockle Park |
CR | Craibstone |
GR | Greenmount |
HA | Harper Adams |
MO | Morley |
RO | Rosemaund |
SB | Sutton Bonnington |
TE | Terrington |
Used with permission of Mike Talbot.
Mike Talbot and A V Wheelwright, 1989, The analysis of genotype x analysis interactions by partial least squares regression. Biuletyn Oceny Odmian, 21/22, 19–25.
## Not run:
library(agridat)
libs(pls, reshape2)
data(talbot.potato.traits)
datt <- talbot.potato.traits
data(talbot.potato.yield)
daty <- talbot.potato.yield
datt <- acast(datt, gen ~ trait, value.var='score')
daty <- acast(daty, gen ~ loc, value.var='yield')
# Transform columns to zero mean and unit variance
datt <- scale(datt)
daty <- scale(daty)
m1 <- plsr(daty ~ datt, ncomp=3)
summary(m1)
# Loadings factor 1
lo <- loadings(m1)[,1,drop=FALSE]
round(-1*lo[order(-1*lo),1,drop=FALSE],2)
biplot(m1, main="talbot.potato - biplot")
## End(Not run)
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