computeMatSimilarity: Computation of similarity matrices
In visCorVar: Overlaying of Correlation Circles and Network of Correlated Variables

Description Usage Arguments Details Value Examples

Performs the computation of the similarity matrices for each group of blocks.

1	computeMatSimilarity(res_matCorAddVar)

res_matCorAddVar

res_matCorAddVar is the output of the function matCorAddVar.

The function computeMatSimilarity performs the computation of the similarity matrices for each group of blocks. The similarity between two variables is an approximation of the correlation between these two variables.

a list containing

liste_mat_similarity_group type : list of matrices. The ith element of liste_mat_similarity_group contains the similarity matrices for the blocks of the ith group of blocks and the response variables.
res_matCorAddVar. The output of the function matCorAddVar.

load(system.file("extdata", "res_data_integration.rda", package="visCorVar"))
load(system.file("extdata", "block_Y.rda", package="visCorVar"))
load(system.file("extdata", "var_interest.rda", package="visCorVar"))
comp = 1:2
cutoff_comp = 0.8
res_matCorAddVar = matCorAddVar(res_data_integration, block_Y,
 cutoff_comp, var_interest, comp)
res_compute_mat_similarity = computeMatSimilarity(res_matCorAddVar)