Distance Matrix Computation for ldata and mfdata class object

This function computes the distances between the list elements

Usage

metric.ldata(
  ldata1,
  ldata2 = NULL,
  include = "all",
  exclude = "none",
  metric,
  par.metric = NULL,
  w,
  method = "none"
)

Arguments

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".

Details

This function returns a distance matrix by using metric.lp function for fdata objects and
metric.dist function for vector and matric objects.

Author

Manuel Febrero-Bande, Manuel Oviedo de la Fuente manul.oviedo@usc.es

Examples

if (FALSE) { # \dontrun{
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) 
} # }