Description Usage Arguments Value References See Also Examples

This function plots the collection of all MUltivariate QuantIlE points in three dimensions (`muqie3D`

) over all unit-length direction vectors `u`

, which projects the `yamm`

-centred multivariate data onto the chosen vector `u`

to obtain a univariate set. The `muqie3D`

point is merely the vector `u`

rescaled to have length equal to the quantile of the univariate set.

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`xdata` |
The data as a matrix or dataframe with the number of columns greater than or equal to three, with each row being viewed as one multivariate observation. |

`dm` |
A numeric vector with three entries representing the selected columns of the data considered. The default value is |

`probs` |
The quantile of the data after projected to obtain a univariate set. |

`nsegs` |
The number of the three-dimensional unit-length direction vectors |

`nprojs` |
The number of projections for the dataset when computing |

`reltol` |
The tolerance of the optimisation process in the function |

`plot.it` |
Logical. If |

`full.return` |
Logical. If |

If `full.results`

= `TRUE`

, it returns a list comprising of

`ans ` |
A data matrix with four rows. The first three rows represent the x-, y- and z-coordinates of the projection vector |

`uvd ` |
A data matrix after projecting the |

`cdata ` |
The |

`yamm ` |
The yamm value of the multivariate data. See |

If `full.results`

= `FALSE`

(default), it will only return `ans`

.

Chen, F. and Nason, Guy P. (2020) A new method for computing the projection medi
an, its influence curve and techniques for the production of projected quantile
plots. *PLOS One*, (to appear)

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