ggdag: simulate_data – R documentation

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simulate_data

Simulate Data from Structural Equation Model

Description

This is a thin wrapper for the simulateSEM()function in dagitty that works with tidied dagitty objects. It treats the input DAG as a structural equation model, generating random path coefficients and simulating corresponding data. See dagitty::simulateSEM() for details.

Usage

simulate_data(
  .tdy_dag,
  b.default = NULL,
  b.lower = -0.6,
  b.upper = 0.6,
  eps = 1,
  N = 500,
  standardized = TRUE
)

Arguments

`.tdy_dag`	the input DAG, which can be a `tidy_dagitty` or `dagitty` object.
`b.default`	default path coefficient applied to arrows for which no coefficient is defined in the model syntax.
`b.lower`	lower bound for random path coefficients, applied if b.default = NULL.
`b.upper`	upper bound for path coefficients.
`eps`	residual variance (only meaningful if standardized=FALSE).
`N`	number of samples to generate.
`standardized`	whether a standardized output is desired (all variables have variance 1).

Value

a tblwith N values for each variable in .tdy_dag

Examples

dagify(y ~ z, x ~ z) %>%
  tidy_dagitty() %>%
  simulate_data()

ggdag

Analyze and Create Elegant Directed Acyclic Graphs

v0.2.3

MIT + file LICENSE

Authors

Malcolm Barrett [aut, cre] (<https://orcid.org/0000-0003-0299-5825>)

Initial release