Distance Matrix Computation for ldata and mfdata class object
This function computes the distances between the list elements
metric.ldata( ldata1, ldata2 = NULL, include = "all", exclude = "none", metric, par.metric = NULL, w, method = "none" )
ldata1 |
List with of fdata objects and a data.frame object calle 'df'. |
ldata2 |
List with of fdata objects and a data.frame object calle 'df'. |
include |
vector with the name of variables to use |
exclude |
vector with the name of variables to not use |
metric |
Type of metric to combine, if 'none', the function no combine and return a list o distances for each variable included |
par.metric |
List of metric parameters for each variable included |
w, |
weights to combine the metric (if metric is not 'none') |
method |
The distance measure to be used. This must be one of "euclidean", "maximum", "manhattan", "canberra", "binary" or "minkowski". |
This function returns a distance matrix by using metric.lp
function for fdata objects and metric.dist
function for vector and matric objects.
Manuel Febrero-Bande, Manuel Oviedo de la Fuente manul.oviedo@usc.es
## Not run: data(tecator) names(tecator)[2]<-"df" # Example 1 (list of distances) ldist <- metric.ldata(tecator,method="none") lapply(ldist,names) # Example 2 (combined metric) mdist <- metric.ldata(tecator,method="euclidean") dim(mdist) ## End(Not run)
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