BBplot: BBplot function
In nsantantonio/Bilinear: Fits bilinear models for multi environment trial data

Description Usage Arguments Details Examples

This function makes biplots from a bilinear() object, and is a wrapper for decorateBBplot.

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BBplot(bilinearObject, f = 0.5, nPC = NULL, plottitle = "Biplot",
  biplot3D = FALSE, outer.box = TRUE, internal.axes = FALSE,
  scaled = TRUE, decorateGGE = FALSE, Gnames = TRUE)

`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
`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

data(soyMeanMat)
AMMIfit <- bilinear(x = soyMeanMat)
AMMIplot(AMMIfit)
AMMIplot(AMMIfit, "winner")
AMMIplot(AMMIfit, "winner", color = "hotpink")
AMMIplot(AMMIfit, c("linear", "winner"), color = c("hotpink", "darkorchid"))

data(ontario)
GGEfit <- bilinear(x = ontario, model = "GGE")
BBplot(GGEfit, decorateGGE = TRUE)