sample_x: Draw a data frame from the specified population.

In regressinator: Simulate and Diagnose (Generalized) Linear Models

Draw a data frame from the specified population.

Description

Sampling is split into two steps, for predictors and for response variables, to allow users to choose which to simulate. sample_x() will only sample predictor variables, and sample_y() will augment a data frame of predictors with columns for response variables, overwriting any already present. Hence one can use sample_y() as part of a simulation with fixed predictors, for instance.

Usage

sample_x(population, n)

sample_y(xs)

Arguments

population	Population, as defined by population().
n	Number of observations to draw from the population.
xs	Data frame of predictor values drawn from the population, as obtained from sample_x().

Value

Data frame (tibble) of n rows, with columns matching the variables specified in the population.

Examples

# A population with a simple linear relationship
pop <- population(
  x1 = predictor(rnorm, mean = 4, sd = 10),
  x2 = predictor(runif, min = 0, max = 10),
  y = response(0.7 + 2.2 * x1 - 0.2 * x2, error_scale = 1.0)
)

xs <- pop |>
  sample_x(5)

xs

xs |>
  sample_y()

regressinator documentation built on Sept. 11, 2024, 6:50 p.m.