heatmapPlot: Plot the comorbidity analysis results in a heatmap.

In aGutierrezSacristan/comorbidity: Analyze comorbidities from electronic health record data

Description

Given an object of class cAnalysis or molecularcAnalysis obtained from a comorbidity analysis, a heatmap is obtained.

Usage

heatmapPlot(input, selectValue = "score", cutOff = 0.05, npairs = 0,
  interactive = FALSE, lowColor = "#0000FF", highColor = "yellow",
  verbose = FALSE)

Arguments

input	A cAnalysis or molecularcAnalysis object, obtained by applying the comorbidityAnalysis or comorbidityAnalysisMolecular function
selectValue	By default "score" variable will be selected. Change it to any of the other possible variables ('correctedPvalue','odds ratio', 'phi', 'rr').
cutOff	By default '0.05'. The value of the argument can be changed to any other numeric variable, according to the range of the selected value.
npairs	by default '0'. The value of the argument can be changed to any other numeric variable to show in the network only those comorbidities suffered by at least npairs of patients.
interactive	Determines if the output heatmap is interactive or not. By default the interactive argument is set up as FALSE. The value of the argument can be changed to TRUE, as a result an interactive heatmap will be obtained.
lowColor	Determines the heatmap color for the lowest value. By default it is set to "#0000FF".
highColor	Determines the heatmap color for the highest value. By default it is set to "yellow".
verbose	By default FALSE. Change it to TRUE to get a on-time log from the function.
warnings	By default TRUE. Change it to FALSE to don't see the warnings.

Value

A heatmap

Examples

load(system.file("extdata", "comorMale.RData", package="comoRbidity"))
htmp <- heatmapPlot( input = comorMale, 
              selectValue  = "score", 
              cutOff       = 0.5, 
              npairs       = 2
              )
htmp

aGutierrezSacristan/comorbidity documentation built on April 10, 2020, 5:54 p.m.