Description Usage Arguments Details Value Author(s) See Also Examples

Plots variables and cases in the same plot, based on a principal component analysis.

1 2 3 4 5 6 7 8 9 10 11 | ```
biplot3D(x,...)
## Default S3 method:
biplot3D(x,y,var.axes=TRUE,col=c("green","red"),cex=c(2,2),
xlabs = NULL, ylabs = NULL, expand = 1,arrow.len = 0.1,
...,add=FALSE)
## S3 method for class 'princomp'
biplot3D(x,choices=1:3,scale=1,...,
comp.col=1,comp.labs=paste("Comp.",1:3),
scale.scores=lambda[choices]^(1-scale),
scale.var=scale.comp, scale.comp=sqrt(lambda[choices]),
scale.disp=1/scale.comp)
``` |

`x` |
princomp object or matrix of point locations to be drawn (typically, cases) |

`choices` |
Which principal components should be used? |

`scale` |
a scaling parameter like in |

`scale.scores` |
a vector giving the scaling applied to the scores |

`scale.var` |
a vector giving the scaling applied to the variables |

`scale.comp` |
a vector giving the scaling applied to the unit length of each component |

`scale.disp` |
a vector giving the scaling of the display in the directions of the components |

`comp.col` |
color to draw the axes of the components, defaults to black |

`comp.labs` |
labels for the components |

`...` |
further plotting parameters as defined in |

`y` |
matrix of second point/arrow-head locations (typically, variables) |

`var.axes` |
logical, TRUE draws arrows and FALSE points for y |

`col` |
vector/list of two elements the first giving the color/colors for the first data set and the second giving color/colors for the second data set. |

`cex` |
vector/list of two elements the first giving the size for the first data set and the second giving size for the second data set. |

`xlabs` |
labels to be plotted at x-locations |

`ylabs` |
labels to be plotted at y-locations |

`expand` |
the relative expansion of the y data set with respect to x |

`arrow.len` |
The length of the arrows as defined in |

`add` |
logical, adding to existing plot or making a new one? |

This "biplot" is a triplot, relating data, variables and principal components. The relative scaling of the components is still experimental, meant to mimic the behavior of classical biplots.

the 3D plotting coordinates of the tips of the arrows of the variables displayed, returned invisibly

K.Gerald v.d. Boogaart http://www.stat.boogaart.de

1 2 3 4 5 6 | ```
data(SimulatedAmounts)
pc <- princomp(acomp(sa.lognormals5))
pc
summary(pc)
plot(pc) #plot(pc,type="screeplot")
biplot3D(pc)
``` |

compositions documentation built on June 14, 2018, 5:03 p.m.

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