| sdata {causal.decomp} | R Documentation |
Synthetic Data for Illustration
Description
A randomly generated dataset containing 1000 rows and 9 columns with no missing values.
Usage
sdata
Format
A data frame containing the following variables. The data are provided only for explanatory purposes. The mediators are assumed to be independent of each other.
- C.num:
A quantitative covariate.
- C.bin:
A binary covariates with a value of 0 or 1.
- R:
A group indicator with four levels.
- X:
A quantitative intermediate confounder between a mediator and the outcome.
- M.num:
A quantitative mediator.
- M.bin:
A binary mediator with a value of 0 or 1.
- M.cat:
A categorical mediator with three levels.
- Y.num:
A quantitative outcome.
- Y.bin:
A binary outcome with a value of 0 or 1.
Details
Note that all the variables are randomly generated using the dataset used in Park et al. (2021+).
References
Park, S., Kang, S., and Lee, C. (2021+). "Choosing an Optimal Method for Causal Decomposition Analysis: A Better Practice for Identifying Contributing Factors to Health Disparities".