visualize.infotheo.matrix: Heatmap plot of theory information metrics

In AnderEhu/sme:

Description

Heatmap plot of theory information metrics

Usage

visualize.infotheo.matrix(
  df,
  type,
  file = "None",
  colors = c("#DEB841", "white", "#267278")
)

Arguments

df	Conditional Entropy, Joint Entropy or Mutual Information data.frame or matrix.
type	Type of theory information metric. Character
file	In case you want to save the plot, file represents output file name.
colors	Three colors for the gradient. Default c("#DEB841", "white", "#267278").

Value

Plot theory information metrics heatmap

Examples

df <- data.frame("V1" = sample.int(2,5,replace=TRUE), "V2" =sample.int(2,5,replace=TRUE) , "V3" = sample.int(2,5,replace=TRUE), "V4" = sample.int(2,5,replace=TRUE),  "V5" = sample.int(2,5,replace=TRUE), "V6" = sample.int(2,5,replace=TRUE), "V7" = sample.int(2,5,replace=TRUE), "V8" = sample.int(2,5,replace=TRUE))
ce <- conditional.entropy(df)
je <- joint.entropy(df)
mi <- mutual.information(df)

visualize.infotheo.matrix(ce, type = "Conditional Entropy")
visualize.infotheo.matrix(ce, type = "Conditional Entropy", file = "conditionalEntropy")
visualize.infotheo.matrix(ce, type = "Conditional Entropy", file = "conditionalEntropy", colors = c("Blue", "White", "Green"))


visualize.infotheo.matrix(je, type = "Joint Entropy")
visualize.infotheo.matrix(je, type = "Joint Entropy", file = "jointEntropy")
visualize.infotheo.matrix(je, type = "Joint Entropy", file = "jointEntropy", colors = c("Blue", "White", "Green"))


visualize.infotheo.matrix(je, type = "Mutual Information")
visualize.infotheo.matrix(je, type = "Mutual Information", file = "mutualInformation")
visualize.infotheo.matrix(je, type = "Mutual Information", file = "mutualInformation", colors = c("Blue", "White", "Green"))

AnderEhu/sme documentation built on Jan. 31, 2022, 12:01 a.m.