Description Usage Arguments Details Value References See Also Examples

`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`

.

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

`model` |
The AMMI model (An object of class |

`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 |

`a` |
The ratio of the weights given to the stability components for
computation of SSI when |

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

*AV _{(AMGE)} =
∑^{E}_{j=1}∑^{N'}_{n=1}
|λ_{n}γ_{in}δ_{jn}|*

Where, *N'* is the number of significant
IPCs (number of IPC that were retained in the AMMI model via F tests);
*λ _{n}* is the
singular value for

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.

zali_evaluation_2012ammistability

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 | ```
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)
``` |

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.