reap_freq_run: Determine reappearance frequency for range

In MrMaximumMax/FBCanalysis: Develop and evaluate time series data models based on fluctuation based clustering

Determine reappearance frequency for range

Description

Determine the reappearance frequency for clustered elements in perturbed data for specified amounts of random data removal

Usage

reap_freq_run(
  plist,
  parameter,
  n_simu,
  method,
  n_clust,
  range,
  Iter,
  normalize
)

Arguments

plist	Object of type list storing patient time series data (also see function: patient_list)
parameter	Parameter of interest in time series data list
n_simu	Number of simulations
method	Clustering method (also see function: clust_matrix)
n_clust	Number of clusters
range	Range to simulate random data removal (e.g. c(0.1,0.2,0.5,0.7,0.8))
Iter	Maximum iterations to determine Earth Mover's Distances (also see function: emd_matrix); default is 5,000 for this function
normalize	Indicates if parameter indicated needs to be normalized or not (TRUE by default)

Details

The procedure on determining the reappearance frequenncy is described in reap_freq.

Value

List storing vectors with reappearance frequencies for each simulation run for each removal amount indicated as well as illustrated results in a boxplot

References

Edgar Delgado-Eckert, Oliver Fuchs, Nitin Kumar, Juha Pekkanen, Jean-Charles Dalphin, Josef Riedler, Roger Lauener, Michael Kabesch, Maciej Kupczyk, Sven-Erik Dahlen, et al. Functional phenotypes determined by fluctuation-based clustering of lung function measurements in healthy and asthmatic cohort participants. Thorax, 73(2):107–115, 2018.

MrMaximumMax/FBCanalysis documentation built on June 23, 2022, 8:21 p.m.