GenoTriplo (version 1.1.3)

Run_Clustering: Launch parallel clustering

Description

Launch the clustering phase in parallel from the dataset with SampleName, Contrast and SigStren for each markers (MarkerName).

Usage

Run_Clustering(
  data_clustering,
  ploidy,
  save_n = "",
  n_iter = 5,
  D_min = 0.28,
  n_core = 1,
  path_log = ""
)

Value

the result of clustering or automatically save a list of objects if a saving name has been provided

Arguments

data_clustering

dataframe result from create dataset phase

ploidy

ploidy of offspring

save_n

name of the saving file

n_iter

number of iterations of clustering

D_min

threshold distance between two clusters

n_core

number of cores used for parallelization

path_log

path for log file when run by the shiny app

Examples

data(GenoTriplo_to_clust)
res = Run_Clustering(data_clustering=GenoTriplo_to_clust,
                     ploidy=3,n_iter=5,n_core=1)
# or if you want to automatically save the result
# This will automatically create a folder and save the result in it
# Run_Clustering(data_clustering=GenoTriplo_to_clust,
#                ploidy=3,n_iter=5,n_core=1,save_n='exemple')