conData: Explore and tidy raw data

In ConNEcT: Contingency Measure-Based Networks for Binary Time Series

Explore and tidy raw data

Description

Removes not binary columns from multivariate time series data and calculates a table of relative frequency and auto-dependency for each binary variable

Usage

conData(data)

Arguments

data	Binary time-points-by-variable matrix

Value

A conData-object including:

data Binary data in time points to variable format.

probs Table of relative frequency and auto-dependence for each variable.

varNames The names of all variables.

Examples

ExampleData <- cbind(rep(c(0,1),100),
                     rep(c(0,0,0,0,0,1,1,1,1,1),20),
                     c(
                       rep(c(0,0,0,1,1),20),
                       rep(c(0,1,1,1,1),20)
                     ),
                     ifelse(rnorm(200,0,1)<0.95,1,0),
                     c(
                       ifelse(rnorm(100,0,1)<0.7,1,0),
                       ifelse(rnorm(100,0,1)<0.7,0,1)
                     ),
                     ifelse(rnorm(200,0,1)<(-0.98),1,0))
colnames(ExampleData) <- c('Var 1','Var 2','Var 3',
                           'Var 4','Var 5','Var 6')
conData(ExampleData)

data(SymptomData)
Sdata <- conData(SymptomData)
Sdata$probs

ConNEcT documentation built on May 9, 2022, 9:05 a.m.