plotClustFreq: Plot Cluster Frequency

In SCSchmidt/percopackage: Percolation Analysis functions

Plot Cluster Frequency

Description

Percolation cluster size and rank analyses – this program processes the cluster data generated by the cluster extraction program to give various different frequency and ranking plots.

Usage

plotClustFreq(source_file_name = source_file_name)

Arguments

source_file_name

needs input of source file name for plotting

Details

source_file_name is a string, which will be used to label the plots and describes the source data set. If already input in mapClusters this doesn’t need to be done again.

Three png-files are generated:

a) radius to maximum cluster size,

b) radius to mean cluster size and

c) radius to normalized max. cluster size

and they will include the information of the source file as a subtitle.

They are stored as png files in the /analysis_results directory as “radius_to_max_cluster_size”, “radius_to_mean_cluster_size” and “radius_to_norm_max_cluster_size”.

For more information and a code and data example please check the vignette "percolation".

Value

three plots of radius to maximum cluster size, radius to mean cluster size and radius to normalized max. cluster size

Author(s)

Simon Maddison

Sophie C. Schmidt

SCSchmidt/percopackage documentation built on Aug. 27, 2024, 4:57 a.m.