Contour plot of the alpha multivariate normal in S^2 | R Documentation |

Contour plot of the *α* multivariate normal in *S^2*.

alfa.contour(m, s, a, n = 100, x = NULL, cont.line = FALSE)

`m` |
The mean vector of the |

`s` |
The covariance matrix of the |

`a` |
The value of a for the |

`n` |
The number of grid points to consider over which the density is calculated. |

`x` |
This is either NULL (no data) or contains a 3 column matrix with compositional data. |

`cont.line` |
Do you want the contour lines to appear? If yes, set this TRUE. |

The *α*-transformation is applied to the compositional data and then for a grid of points within the 2-dimensional simplex, the density of the *α* multivariate normal is calculated and the contours are plotted.

The contour plot of the *α* multivariate normal appears.

Michail Tsagris and Christos Adam.

R implementation and documentation: Michail Tsagris mtsagris@uoc.gr and Christos Adam pada4m4@gmail.com.

Tsagris M.T., Preston S. and Wood A.T.A. (2011). A data-based power transformation for compositional data. In Proceedings of the 4th Compositional Data Analysis Workshop, Girona, Spain. https://arxiv.org/pdf/1106.1451.pdf

```
folded.contour, compnorm.contour, diri.contour, mix.compnorm.contour, bivt.contour, skewnorm.contour
```

x <- as.matrix(iris[, 1:3]) x <- x / rowSums(x) a <- a.est(x)$best m <- colMeans(alfa(x, a)$aff) s <- cov(alfa(x, a)$aff) alfa.contour(m, s, a)

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.