clusterSPconfig: Configure clusterSP computation

View source: R/clusterSPconfig.R

clusterSPconfigR Documentation

Configure clusterSP computation

Description

Configure the (hyper)parameters to computing snow profile clusters.

Usage

clusterSPconfig(
  type = "n",
  simType = NULL,
  ddate = FALSE,
  pwls = FALSE,
  n_cores = NULL,
  verbose = TRUE
)

Arguments

type

which method of clustering, current options are kdba or default n which provides generic config

simType

which profile similarity method is used for alignments, see simSP for options

ddate

if profiles contain deposition date adjust the dimensions and weights used for layer similarities passed to distanceSPlayers

pwls

if profiles contain stability indices then use that information to classify PWLS in averageSP

n_cores

number of nodes passed to averageSP and distanceSP to run calculations in parallel, default NULL performs all calculations in serial

verbose

logical indicating whether to print various diagnostics

Value

a list containing the following:

  • args_distance: a parameter list passed on to the distance function during clustering. This list will determine the distance computation in clustering type 'kdba', and the computation of a distance matrix with distanceSP for other clustering types

  • args_centers: a parameter list passed on to clusterSPcenters during clustering

  • args_cluster: a parameter list passed onto the clustering functions stats::hclust, cluster::pam, cluster::fanny, clusterSPkdba

  • args_fast: a named vectors with weights for summary stats used in in fast option

  • verbose: copied from the input parameter verbose

Author(s)

fherla shorton

See Also

clusterSP

Examples

print(clusterSPconfig(ddate = TRUE))

sarp.snowprofile.alignment documentation built on Sept. 11, 2024, 9:23 p.m.