Description Usage Arguments Details Examples

This function makes biplots from a bilinear() object

1 2 3 4 |

`bilinearObject` |
object from output of a call to biliner() |

`f` |
numeric. Scale parameter in (0, 1) for exponent on eigenvalues for weighting the genotype scores. Environment scores are weighted 1 - f. Default is 0.5 |

`pdf.filename` |
name of pdf file to output. If NULL, biplot is printed to default device. |

`nPC` |
integer. Number of principal components to graph in the model. Default is 2 for a 2D biplot and 3 for a 3D biplot. If the number of significant PCs is less than the default and no argument is provided to 'nPC', the mean will be printed on the x axis, and the 1st (or 1st and 2nd for 3D biplot) PC will be printed on the remaining axis(es) |

`plottitle` |
character. Title for biplot. |

`biplot3D` |
logical. Should a 3dimensional |

`outer.box` |
logical. Shoudl a box be printed around the plot. default is TRUE. |

`internal.axes` |
logical. For 3D biplots(?) default is FALSE |

`scaled` |
logical. default is TRUE |

`decorateGGE` |
logical. should a GGE plot be decorate to dilineate megaenvironments to determine genotype winners? |

`Gnames` |
character vector of genotype names to be included on plot near respective points |

put some details here

1 2 3 4 5 6 7 8 9 10 | ```
data(soy)
AMMIfit <- bilinear(x = soyShort)
AMMIplot(AMMIfit)
AMMIplot(AMMIfit, "winner")
AMMIplot(AMMIfit, "winner", color = "hotpink")
AMMIplot(AMMIfit, c("linear", "winner"), color = c("hotpink", "darkorchid"))
data(onterio)
GGEfit <- bilinear(x = onterio, model = "GGE")
BBplot(GGEfit, decorateGGE = TRUE)
``` |

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