CorComp: Perform pair-wise correlation of clusters based on chosen...

In vtorda/CompareTools: Post processing of COMPARE analysis

Description

Perform pair-wise correlation of clusters based on chosen statistics

Usage

CorComp(compare, dataset = NULL, stat = NULL, plot = TRUE,
  heatmap = TRUE, group_n = NULL, cor_method = "pearson",
  cl_method = "ward.D2", ...)

Arguments

compare	a compare object
dataset	The dataset that you want to depict. It can be a single character or a numeric value refers to the element of the compare object.
stat	A character or a numeric value that refers to the statistics (elemnt of the dataset) you want ot depict.
plot	Logical. If FALSE you have to define the group_n argumentum and a dataframe is returned with cluster names and groups a according hierachical clustering. This dataframe can be inputed to the GoupComp function. Otherwise you can plot a dendrogram with our withour a heatmap
heatmap	Logical. Whether a heatmap should be ploted. Only when heatmap is FALSE you can draw rectangles around hierarchical cluster.
group_n	Numeric. Defining the number of groups which into the clusters should be sorted
cor_method	A character string defining the correlation coefficient you want to use: "pearson", "kendall" or "spearman". The deafault is "pearson".
cl_method	A character string defining the agglomeration method to be used. See hclust stats function for details.
...	argument passed to the hclust function

Value

this function returns a compare object retain only just part of the original clusters

vtorda/CompareTools documentation built on Nov. 6, 2019, 9:07 p.m.