gen_data: Generate Toy Data for Matching
In almost-matching-exactly/R-FLAME: Interpretable Matching for Causal Inference

Description Usage Arguments Details Value

View source: R/gen_data.R

gen_data generates toy data that can be used to explore FLAME and DAME functionality.

1	gen_data(n = 250, p = 5, write = FALSE, path = getwd(), filename = "AME.csv")

`n`	Number of units desired in the data set. Defaults to 250.
`p`	Number of covariates in the data set. Must be greater than 2. Defaults to 5.
`write`	A logical scalar. If `TRUE`, the resulting data is stored as a .csv file as specified by arguments `path` and `filename`. Defaults to `FALSE`.
`path`	The path to the location where the data should be written if `write = TRUE`. Defaults to `getwd()`.
`filename`	The name of the file to which the data should be written if `write = TRUE`. Defaults to AME.csv.

gen_data simulates data in the format accepted by FLAME and link{DAME}. Covariates X_i and treatment T are both independently generated according to a Bernoulli(0.5) distribution. The outcome Y is generated according to Y = 15X_1 - 10X_2 + 5X_3 + 5T + ε, where ε \sim N(0, I_n). Thus, the value of p must be at least 3 and any additional covariates beyond X_1, X_2, X_3 are irrelevant.