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Reorder a correlation matrix

Source: R/corr_coef.R
reorder_cormat.Rd

[Stable]

Reorder the correlation matrix according to the correlation coefficient by using hclust for hierarchical clustering order. This is useful to identify the hidden pattern in the matrix.

Usage

reorder_cormat(x)

Arguments

x

The correlation matrix

Value

The ordered correlation matrix

Author

Tiago Olivoto tiagoolivoto@gmail.com

Examples

# \donttest{
library(metan)
cor_mat <- corr_coef(data_ge2, PH, EH, CD, CL, ED, NKR)
cor_mat$cor
#>            PH        EH        CD         CL        ED        NKR
#> PH  1.0000000 0.9318282 0.3153910  0.3251648 0.6613148  0.3530495
#> EH  0.9318282 1.0000000 0.2805118  0.3971935 0.6302561  0.3310529
#> CD  0.3153910 0.2805118 1.0000000  0.3003636 0.3897128  0.5933206
#> CL  0.3251648 0.3971935 0.3003636  1.0000000 0.6974629 -0.1149405
#> ED  0.6613148 0.6302561 0.3897128  0.6974629 1.0000000  0.2220727
#> NKR 0.3530495 0.3310529 0.5933206 -0.1149405 0.2220727  1.0000000
reorder_cormat(cor_mat$cor)
#>            CD        NKR        PH        EH         CL        ED
#> CD  1.0000000  0.5933206 0.3153910 0.2805118  0.3003636 0.3897128
#> NKR 0.5933206  1.0000000 0.3530495 0.3310529 -0.1149405 0.2220727
#> PH  0.3153910  0.3530495 1.0000000 0.9318282  0.3251648 0.6613148
#> EH  0.2805118  0.3310529 0.9318282 1.0000000  0.3971935 0.6302561
#> CL  0.3003636 -0.1149405 0.3251648 0.3971935  1.0000000 0.6974629
#> ED  0.3897128  0.2220727 0.6613148 0.6302561  0.6974629 1.0000000
# }