| aggregateSoilDepth {aqp} | R Documentation |
Estimate the most-likely depth to contact within a collection of soil profiles.
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
data(sp1)
depths(sp1) <- id ~ top + bottom
site(sp1) <- ~ group
aggregateSoilDepth(sp1, 'group', crit.prob = 0.9)
## group soil.top soil.bottom
## 1 1 0 232
## 2 2 0 67