Pts: Simulated Patient Data for 'EC_patient'

In Lauren-Eyler/EconomicClusters: Population-Specific Economic Groups Defined by Few Asset Variables

Simulated Patient Data for 'EC_patient'

Description

This data set represents simulated patient data for the asset variables selected by 'EconomicClusters'.

Usage

data(Pts)

Format

A data frame with 50 observations on the following 5 variables.

V2

a binary 0/1 variable with probability 0.4 of value 1

V5

a binary 0/1 variable with probability 0.6 of value 1

V6

a binary 0/1 variable with probability 0.8 of value 1

V9

a categorical variable with the following probabilities: p(V9=1)=0.4, p(V9=2)=0.3, p(V9=3)=0.2, p(V9=4)=0.1. V9 is highly correlated to V11 (correlation coefficient=0.95)

V11

a categorical variable with the following probabilities: p(V11=1)=0.4, p(V11=2)=0.3, p(V11=3)=0.2, p(V11=4)=0.1. V11 is highly correlated to V9 (correlation coefficient=0.95)

Details

The data frame 'Pts' was simulated to represent the economic data collected in a patient registry to assess patient economic status using the 5 variables selected by the 'EconomicClusters' algorithm. Binary variables were generated using 'rbinom'. Multi-level categorical variables were generated with function 'ordsample' from package 'GenOrd'.

Source

This data set was simulated by the package authors in order to demonstrate the functionality of the 'EconomicClusters' package.

See Also

EconomicClusters

Examples

#We previously defined an economic clustering model for our population using 'EconomicClusters'.
#We saved a data frame containing the responses to the economic questions 
#selected by the model for the cluster medoids as 'Medoids'.
#We have since collected trauma registry data for 250 patients 
#and asked them the 5 economic questions selected by the model.
#Data set 'Pts' contains the new patients' responses to these five questions.
#We now want to know which economic cluster each patient belongs in.

data(Pts)
data(Medoids)
data(Pop)
data(PopClusters)
Pt_clust<-EC_patient(Pts, Medoids, Pop, PopClusters)
#number of patients per cluster:
table(Pt_clust)

#We now have a vector of patient cluster membership.

Lauren-Eyler/EconomicClusters documentation built on March 22, 2022, 1:21 a.m.