evalGenHZ {aqp} | R Documentation |
Data-driven evaluation of generalized horizon labels using nMDS and silhouette width.
evalGenHZ( obj, genhz, vars, non.matching.code = "not-used", stand = TRUE, trace = FALSE, metric = "euclidean" )
obj |
a |
genhz |
name of horizon-level attribute containing generalized horizon labels |
vars |
character vector of horizon-level attributes to include in the evaluation |
non.matching.code |
code used to represent horizons not assigned a generalized horizon label |
stand |
standardize variables before computing distance matrix (default
= TRUE), passed to |
trace |
verbose output from passed to |
metric |
distance metric, passed to |
Non-metric multidimensional scaling is performed via isoMDS
.
The input distance matrix is generated by daisy
using
(complete cases of) horizon-level attributes from obj
as named in
vars
.
Silhouette widths are computed via silhouette
. The input
distance matrix is generated by daisy
using (complete cases
of) horizon-level attributes from obj
as named in vars
. Note
that observations with genhz labels specified in non.matching.code
are removed filtered before calculation of the distance matrix.
a list is returned containing:
c('mds.1', 'mds.2', 'sil.width', 'neighbor')
mean and standard deviation
of vars
, computed by generalized horizon label
the
distance matrix as passed to isoMDS
D.E. Beaudette