gratia: data_sim – R documentation

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data_sim

Simulate example data for fitting GAMs

Description

A tidy reimplementation of the functions implemented in mgcv::gamSim() that can be used to fit GAMs. An new feature is that the sampling distribution can be applied to all the example types.

Usage

data_sim(
  model = "eg1",
  n = 400,
  scale = 2,
  dist = c("normal", "poisson", "binary"),
  seed = NULL
)

Arguments

`model`	character; either `"egX"` where `X` is an integer `1:7`, or the name of a model. See Details for possible options.
`n`	numeric; the number of observations to simulate.
`scale`	numeric; the level of noise to use.
`dist`	character; a sampling distribution for the response variable.
`seed`	numeric; the seed for the random number generator. Passed to `base::set.seed()`.

Examples

data_sim("eg1")

gratia

Graceful 'ggplot'-Based Graphics and Other Functions for GAMs Fitted Using 'mgcv'

v0.6.0

MIT + file LICENSE

Authors

Gavin L. Simpson [aut, cre] (<https://orcid.org/0000-0002-9084-8413>), Henrik Singmann [ctb] (<https://orcid.org/0000-0002-4842-3657>)

Initial release

2021-04-17