Description Usage Arguments Value Author(s) Examples

This function builds an SBP of "anti-principal balances" by clustering the difference of the log-ratio variance from the maximum log-ratio variance. Unlike principal balances, where the first balances explain the most variance, this function selects "anti-principal balances" so that the last balances explain relatively more variance.

1 | ```
sbp.fromABA(x, alpha = NA)
``` |

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

`alpha` |
A double. Defines a hyper-parameter used by the Box-Cox transformation to approximate log-ratio variance in the presence of zeros. Skip with NA. |

An SBP matrix.

Thom Quinn

1 2 3 4 |

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