AVAMGE.AMMI: Sum Across Environments of Absolute Value of GEI Modelled by...

Description Usage Arguments Details Value References See Also Examples

View source: R/AVAMGE.AMMI.R

Description

AVAMGE.AMMI computes the Sum Across Environments of Absolute Value of GEI Modelled by AMMI (AVAMGE) (Zali et al., 2012) considering all significant interaction principal components (IPCs) in the AMMI model. Using AVAMGE, the Simultaneous Selection Index for Yield and Stability (SSI) is also calculated according to the argument ssi.method.

Usage

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AVAMGE.AMMI(model, n, alpha = 0.05, ssi.method = c("farshadfar", "rao"), a = 1)

Arguments

model

The AMMI model (An object of class AMMI generated by AMMI).

n

The number of principal components to be considered for computation. The default value is the number of significant IPCs.

alpha

Type I error probability (Significance level) to be considered to identify the number of significant IPCs.

ssi.method

The method for the computation of simultaneous selection index. Either "farshadfar" or "rao" (See SSI).

a

The ratio of the weights given to the stability components for computation of SSI when method = "rao" (See SSI).

Details

The Sum Across Environments of Absolute Value of GEI Modelled by AMMI (AV(AMGE)) is computed as follows:

AV(AMGE) = Ej=1N'n=1nγinδjn|

Where, N' is the number of significant IPCs (number of IPC that were retained in the AMMI model via F tests); λn is the singular value for nth IPC and correspondingly λ2n is its eigen value; γin is the eigenvector value for ith genotype; and δjn is the eigenvector value for the jth environment.

Value

A data frame with the following columns:

AVAMGE

The AVAMGE values.

SSI

The computed values of simultaneous selection index for yield and stability.

rAVAMGE

The ranks of AVAMGE values.

rY

The ranks of the mean yield of genotypes.

means

The mean yield of the genotypes.

The names of the genotypes are indicated as the row names of the data frame.

References

\insertRef

zali_evaluation_2012ammistability

See Also

AMMI, SSI

Examples

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library(agricolae)
data(plrv)

# AMMI model
model <- with(plrv, AMMI(Locality, Genotype, Rep, Yield, console = FALSE))

# ANOVA
model$ANOVA

# IPC F test
model$analysis

# Mean yield and IPC scores
model$biplot

# G*E matrix (deviations from mean)
array(model$genXenv, dim(model$genXenv), dimnames(model$genXenv))

# With default n (N') and default ssi.method (farshadfar)
AVAMGE.AMMI(model)

# With n = 4 and default ssi.method (farshadfar)
AVAMGE.AMMI(model, n = 4)

# With default n (N') and ssi.method = "rao"
AVAMGE.AMMI(model, ssi.method = "rao")

# Changing the ratio of weights for Rao's SSI
AVAMGE.AMMI(model, ssi.method = "rao", a = 0.43)

ajaygpb/AMMIStbp documentation built on Jan. 27, 2020, 8:53 a.m.