IC_correlation_simplify: Simplify the correlation matrix

In HelpersMG: Tools for Environmental Analyses, Ecotoxicology and Various R Functions

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)

Arguments

matrix	The correlation matrix to simplify
variable	a vector with the name of columns to keep

Details

IC_correlation_simplify simplifies the correlation matrix

Value

A list

Author(s)

Marc Girondot [e-mail]

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

## 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)

## End(Not run)

HelpersMG documentation built on Oct. 5, 2023, 5:08 p.m.