simpleREEMdata {REEMtree}R Documentation

Sample Data for RE-EM trees

Description

This data set is consists of a panel of 50 individuals with 12 observations per individual. The data is based on a regression tree with an initial split based on a dummy variable (D) and a second split based on time in the branch where D=1. The observations include both randomly generated individual-specific effects and observation-specific errors.

Format

The data has 600 rows and 5 columns. The columns are:

Y
the target variable
t
a numeric predictor ("time")
D
a catergorical predictor with two levels, 0 and 1
ID
the identifier for each individual
X
another covariate (which is intentionally unrelated to the target variable)

References

Sela, Rebecca J., and Simonoff, Jeffrey S., “RE-EM Trees: A New Data Mining Approach for Longitudinal Data”.

[Package REEMtree version 1.0 Index]