| plot.AMMI {agricolae} | R Documentation |
Biplot AMMI.
## S3 method for class 'AMMI' plot(x,first=1,second=2,third=3,type=1,number=FALSE,gcol=NULL,ecol=NULL, icol=NULL,angle=25,lwd=1.8,length=0.1,xlab=NULL,ylab=NULL,xlim=NULL,ylim=NULL,...)
x |
object AMMI |
first |
position axis x, 0=Y-dependent, 1=PC1, 2=PC2, 3=PC3 |
second |
position axis y,0=Y-dependent, 1=PC1, 2=PC2, 3=PC3 |
third |
position axis z,0=Y-dependent, 1=PC1, 2=PC2, 3=PC3 |
type |
1=biplot, 2= triplot 3=influence genotype |
number |
TRUE or FALSE names or number genotypes |
gcol |
genotype color |
ecol |
environment color |
icol |
influence color |
angle |
angle from the shaft of the arrow to the edge of the arrow head |
lwd |
parameter line width in function arrow |
length |
parameter length in function arrow |
xlab |
x labels |
ylab |
y labels |
xlim |
x limites |
ylim |
y limites |
... |
other parameters of plot |
type=1 produce graphs biplot. type=2 produce graphs triplot, the components are normalizad in scale 0-1. type=3 produce graphs on a 2d point set that are all subgraphs of the Delaunay triangulation with relative neighbor graph.
The relative neighbor graph is defined by the relation, x and y are neighbors if
d(x,y) <= min(max(d(x,z),d(y,z))| z in S)
where d() is the distance, S is the set of BIPLOT points and z is an arbitrary point in S.
help(relativeneigh) package=spdep
Felipe de Mendiburu
library(agricolae)
data(plrv)
model<- with(plrv,AMMI(Locality, Genotype, Rep, Yield))
# biplot PC2 vs PC1
plot(model)
## plot PC1 vs Yield
plot(model,0,1,gcol="blue",ecol="green")
## triplot PC 2,3,4
if (requireNamespace("klaR", quietly = TRUE)) {
plot(model,first=2,second=3,third=4, type=2,number=TRUE)
}
# biplot with influence genotype in pc3 vs pc2
if (requireNamespace("spdep", quietly = TRUE)) {
plot(model,first=2,second=3, type=3,number=TRUE,icol="green")
}