plot_graph_corr: Plot of correlation graph

In AlessandroDeCarlo27/mvlognCorrEst: Sampling from a multivariate Log-Normal distribution using Log-Normal parameters and Estimation of Indirect Correlations

Plot of correlation graph

Description

Function that generates a plot of the graph associated to a given correlation matrix.

Usage

plot_graph_corr(
  corrMat,
  title = "Graph of Correlation Matrix",
  title_size = 1.2,
  edge_width = 0.2,
  edge_label_size = 1.2,
  edge_label_position = 0.6,
  custom_labels = NULL,
  bg_color = "#F8F8F8",
  shade_factor = 0.2
)

Arguments

corrMat	Matrix object which represents correlation matrix.
title	String object which contains the title of the plot. Default values is "Graph of correlation matrix".
title_size	Double with the size of the title. Default value is 1.2.
edge_width	Double with the width of the edges. Default value is 0.2.
edge_label_size	Double with the size of the labels plotted on the edges. They correspond to the correlations. Default value is 1.2.
edge_label_position	Double in [0,1] interval which indicates the relative position of the label on the graph. Default value is 0.6.
custom_labels	Vector with custom node names. If it is NULL, column names of correlation matrix. are used. If correlation matrix has not column names, indices of column are taken. Default value is NULL.
bg_color	String with hexadecimal code of background color. Default value is gray "#F8F8F8".
shade_factor	Double for tuning edge shades. Default value is 0.2.

Note

No more than 3 letters can be showed in each node.

Author(s)

Alessandro De Carlo [e-mail]

Examples

c_start <- diag(rep(1,10))
c_start[1,2] <- -0.6
c_start[1,3] <- -0.75
c_start[2,3] <-0.95
c_start[2,4] <- 0.75
c_start[2,6] <- -0.6
c_start[2,8] <- 0.75
c_start[3,4] <- 0.6
c_start[3,8] <-0.75
c_start[4,7] <- 0.6
c_start[4,8]<-0.75
c_start[5,7] <- -0.95
c_start <- c_start+t(c_start)-diag(rep(1,ncol(c_start)))
plot_graph_corr(c_start,"Graph of Correlation Matrix")

AlessandroDeCarlo27/mvlognCorrEst documentation built on March 23, 2023, 10:11 a.m.