varSelLcmDS2: Needs editing

In FlorianSchw/dsClusterAnalysis: DataSHIELD server side functions for the dsClusterAnalysis package

Needs editing

Description

Needs editing

Usage

varSelLcmDS2(
  df,
  num.clust,
  vbleSelec,
  crit.varsel,
  initModel,
  nbcores,
  nbSmall,
  iterSmall,
  nbKeep,
  iterKeep,
  tolKeep,
  num.iterations,
  initialRun_char_vect,
  colnames_char_vect,
  entries_per_study
)

Arguments

df	is a string character of the data set
num.clust	specifies the number of clusters for the computation
vbleSelec	specifies the max. number of iterations allowed
crit.varsel	relates to the number of random sets if clusters is a number and not a set of initial cluster centers
initModel	refers to the algorithm of calculating the kmeans and can be either 'Hartigan-Wong', 'Lloyd', 'Forgy' or 'MacQueen'
nbcores	is the name of the new object which is created with this function
nbSmall	is a logical or integer specifying whether tracing information on the progress of the algorithm is procuded for the Hartigan-Wong algorithm
iterSmall	is a logical or integer specifying whether tracing information on the progress of the algorithm is procuded for the Hartigan-Wong algorithm
nbKeep	is a logical or integer specifying whether tracing information on the progress of the algorithm is procuded for the Hartigan-Wong algorithm
iterKeep	is a logical or integer specifying whether tracing information on the progress of the algorithm is procuded for the Hartigan-Wong algorithm
tolKeep	represents the number at which point two successive models are defined to be converged; default is 1e-7
num.iterations	the number of iterations for finding SLMA clusters in each respective datasource
initialRun_char_vect	needs editing
colnames_char_vect	needs editing
entries_per_study	needs editing

Details

Needs editing

FlorianSchw/dsClusterAnalysis documentation built on Feb. 8, 2025, 10:31 a.m.