Plot the correlation of each group and auto detected knee point. It can be used to determined which clustered are kept for further analysis.
Results returned by gnet().
A list of indices of the data point with correlation higher than the knee point.
set.seed(1) gnet_result <- list('group_score'=c(runif(10,1,3),c(runif(10,5,3)))) group_keep <- plot_group_correlation(gnet_result)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.