Simulated dataset mimicking the measurement of abilities in three cognitive
domains. The latent traits (cognitive ability in a given domain) are based on
the functions in `mgcv::gamSim`

(Wood 2017)
, and depend on the
explanatory variable x.

## Format

`cognition`

A data frame with 14400 rows and 7 columns:

- id
Subject ID.

- domain
Factor variable denoting the cognitive domain.

- x
Explanatory variable.

- timepoint
Factor variable denoting the timepoint.

- item
Factor variable denoting the item within the tests of each cognitive domain.

- trials
Number of trials, if applicable.

- y
Response variable. For domain 1 a real number, for domain 2 a binomially distributed variable based on a single trial, for domain 3 a real number.

## References

Wood SN (2017).
*Generalized Additive Models: An Introduction with R*, 2 edition.
Chapman and Hall/CRC.

## See also

Other datasets:
`diet`

,
`epilep`

,
`hsced`

,
`latent_covariates`

,
`latent_covariates_long`

,
`lifespan`

,
`mresp`

,
`mresp_hsced`