| taxon_effect | R Documentation |
For each unique taxon label in obj$call.info$Call_ARGS$data
(for example, species or genus), remove all of its occurrences from both
child polygons of every split, recompute split-line performance, and record
both the resulting value and its difference from the original.
taxon_effect(obj)
obj |
A |
Let P be the split-line performance stored in
obj$split.stats$performance. For a focal taxon t, we compute
P^{-t} by removing all occurrences of t. We report \Delta
so that \Delta > 0 always indicates a positive contributor
(that is, removal worsens performance):
If obj$call.info$Call_ARGS$maximize = FALSE (lower is better,
for example similarity), \Delta = P^{-t} - P.
If obj$call.info$Call_ARGS$maximize = TRUE (higher is better,
for example distance), \Delta = P - P^{-t}.
If a taxon is absent from a split's parent polygons, elimination is a no-op
and \Delta = NA.
A list of class taxon_effect_result with:
elim.comp.valsPerformance after removing each taxon; dimension
[n_splits x n_taxa].
deltaSigned contribution \Delta as defined above; dimension
[n_splits x n_taxa].
n_per_polCounts of the focal taxon per split and polygon.
baselineThe original performance vector.
Other functions for hespdiv results post-processing:
cross_comp(),
hsa(),
hsa_detailed(),
hsa_quant(),
hsa_sample_constrained(),
nulltest()
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