HelpersMG (version 6.4)

IC_correlation_simplify: Simplify the correlation matrix

Description

This function can be used to simplify the network of correlations.
If no vector of variables is given, the variables not linked to any other variable are removed. If a vector of variables is given, only link to these variables are retained. https://fr.wikipedia.org/wiki/Iconographie_des_corrélations

Usage

IC_correlation_simplify(matrix, variable = NULL)

Value

A list

Arguments

matrix

The correlation matrix to simplify

variable

a vector with the name of columns to keep

Author

Marc Girondot

Details

IC_correlation_simplify simplifies the correlation matrix

References

Lesty, M., 1999. Une nouvelle approche dans le choix des régresseurs de la régression multiple en présence d’interactions et de colinéarités. Revue de Modulad 22, 41-77.

See Also

Other Iconography of correlations: IC_clean_data(), IC_threshold_matrix(), plot.IconoCorel()

Examples

if (FALSE) {
library("HelpersMG")
es <- structure(list(Student = c("e1", "e2", "e3", "e4", "e5", "e6", "e7", "e8"), 
                 Mass = c(52, 59, 55, 58, 66, 62, 63, 69), 
                 Age = c(12, 12.5, 13, 14.5, 15.5, 16, 17, 18), 
                 Assiduity = c(12, 9, 15, 5, 11, 15, 12, 9), 
                 Note = c(5, 5, 9, 5, 13.5, 18, 18, 18)), 
                 row.names = c(NA, -8L), class = "data.frame")

es

df <- IC_clean_data(es, debug = TRUE)
cor_matrix <- IC_threshold_matrix(data=df, threshold = NULL, progress=FALSE)
cor_threshold <- IC_threshold_matrix(data=df, threshold = 0.3)
par(mar=c(1,1,1,1))
set.seed(4)
plot(cor_threshold)
cor_threshold_Note <- IC_correlation_simplify(matrix=cor_threshold, variable="Note")
plot(cor_threshold_Note)
}