Description Usage Arguments Value Author(s) Examples

This function calculates balances based on the compositional data set and serial binary partition (SBP) matrix provided, then generates a figure from the results.

1 2 | ```
balance.plot(x, y, d.group, n.group, boxplot.split = TRUE,
weigh.var = FALSE, size.text = 20, size.pt = 4)
``` |

`x` |
A matrix with rows as samples (N) and columns as components (D). |

`y` |
A serial binary partition matrix with rows as components (D) and columns as balances (D-1). |

`d.group` |
A vector of group labels for components. Optional. If provided, used to color component points. |

`n.group` |
A vector of group labels for samples. Optional. If provided, used to color sample points. |

`boxplot.split` |
A boolean. Toggles whether to split the boxplot
by |

`weigh.var` |
A boolean. Toggles whether to weigh line width by the proportion of explained variance. Only do this if balances come from an SBP that decomposes variance. |

`size.text` |
An integer. Sets legend text size. |

`size.pt` |
An integer. Sets point size. |

A list of the "partition" `ggplot`

object, the "distribution"
`ggplot`

object, and the per-sample balances.

Thom Quinn

1 2 3 4 5 |

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