View source: R/simulate_design.R

simulate_design | R Documentation |

Runs many simulations of a design and returns a simulations data.frame.

```
simulate_design(..., sims = 500)
simulate_designs(..., sims = 500)
```

`...` |
A design created using the + operator, or a set of designs. You can also provide a single list of designs, for example one created by |

`sims` |
The number of simulations, defaulting to 500. If sims is a vector of the form c(10, 1, 2, 1) then different steps of a design will be simulated different numbers of times. |

Different steps of a design may each be simulated different a number of times, as specified by sims. In this case simulations are grouped into "fans". The nested structure of simulations is recorded in the dataset using a set of variables named "step_x_draw." For example if sims = c(2,1,1,3) is passed to simulate_design, then there will be two distinct draws of step 1, indicated in variable "step_1_draw" (with values 1 and 2) and there will be three draws for step 4 within each of the step 1 draws, recorded in "step_4_draw" (with values 1 to 6).

```
# Two-arm randomized experiment
design <-
declare_model(
N = 500,
gender = rbinom(N, 1, 0.5),
X = rep(c(0, 1), each = N / 2),
U = rnorm(N, sd = 0.25),
potential_outcomes(Y ~ 0.2 * Z + X + U)
) +
declare_inquiry(ATE = mean(Y_Z_1 - Y_Z_0)) +
declare_sampling(S = complete_rs(N = N, n = 200)) +
declare_assignment(Z = complete_ra(N = N, m = 100)) +
declare_measurement(Y = reveal_outcomes(Y ~ Z)) +
declare_estimator(Y ~ Z, inquiry = "ATE")
## Not run:
# Simulate design
simulations <- simulate_design(design, sims = 100)
simulations
# Diagnose design using simulations
diagnosis <- diagnose_design(simulations_df = simulations)
diagnosis
# Simulate one part of the design for a fixed population
# (The 100 simulates different assignments)
head(simulate_design(design, sims = c(1, 1, 1, 100, 1, 1)))
## End(Not run)
```

DeclareDesign documentation built on Aug. 8, 2023, 5:13 p.m.

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