Estimate the most-likely depth to contact within a collection of soil profiles.

1 | ```
aggregateSoilDepth(x, groups, crit.prob = 0.9, name = "hzname", p = "Cr|R|Cd", ...)
``` |

`x` |
a |

`groups` |
the name of a site-level attribute that defines groups of profiles within a collection |

`crit.prob` |
probability cuttoff used to determine where the most likely depth to contact will be, e.g. 0.9 translates to 90% of profiles are shallower than this depth |

`name` |
horizon-level attribute where horizon designation is stored |

`p` |
a REGEX pattern that matches non-soil genetic horizons |

`...` |
additional arguments to |

This function computes a probability-based estimate of soil depth by group. If no grouping variable exists, a dummy value can be used to compute a single estimate. The `crit.prob`

argument sets the critical probability (e.g. 0.9) at which soil depth within a group of profiles is determined. For example, a `crit.prob`

of 0.95 might result in an estimated soil depth (e.g. 120cm) where 95% of the profiles (by group) had depths that were less than or equal to 120cm.

A `data.frame`

is returned, with as many rows as there are unique group labels, as specified in `groups`

.

D.E. Beaudette

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