HelpersMG (version 5.1)

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_corr<U+00E9>lations

Usage

IC_correlation_simplify(matrix, variable = NULL)

Arguments

matrix

The correlation matrix to simplify

variable

a vector with the name of columns to keep

Value

A list

Details

IC_correlation_simplify simplifies the correlation matrix

References

Lesty, M., 1999. Une nouvelle approche dans le choix des r<U+00E9>gresseurs de la r<U+00E9>gression multiple en pr<U+00E9>sence d<U+2019>interactions et de colin<U+00E9>arit<U+00E9>s. Revue de Modulad 22, 41-77.

See Also

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

Examples

# NOT RUN {
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)
# }