sim_2x2_crossed: Simulate 2x2 data with autocorrelated errors

In dalejbarr/autocorr: Autocorrelation toolkit for multilevel data

Description

Simulate 2x2 data with autocorrelated errors

Usage

sim_2x2_crossed(
  n_subj = 48,
  n_items = 48,
  int = 0,
  A = 0,
  B = 0,
  AB = 0,
  item_rint = 0.5,
  item_rslp = 0.5,
  item_rcorr = 0.5,
  subj_rint = 0.5,
  subj_rslp = 0.5,
  subj_rcorr = 0.5,
  version = 0L,
  verbose = FALSE,
  extra_args = NULL
)

Arguments

n_subj	Number of subjects to simulate. Must be a positive integer that is a multiple of 2.
n_items	Number of items/observations per subject. Must be a positive even integer.
int	Intercept.
A	Main effect of A (within-subject factor).
B	Main effect of B (between-subject factor).
AB	AB interaction effect.
item_rint	Item random intercept variance.
item_rslp	Item random slope variance (for factor B).
item_rcorr	Item random correlation.
subj_rint	Subject random intercept variance.
subj_rslp	Subject random slope variance (for factor A).
subj_rcorr	Subject random correlation.
version	How to generate residuals: either an integer representing the Scenario number (see errsim) or the name of a user-defined function.
verbose	Whether the data frame should GLM components.
extra_args	A list of extra arguments to be passed to a user-defined function to generate residuals.

Value

A data frame with n_subj * n_items rows and either 9 or 12 columns depending on whether verbose is TRUE or FALSE respectively.

subj_id

A

Level of within-subject factor A.

B

Level of between-subject factor B.

A_c

Deviation-coded predictor for A.

B_c

Deviation-coded predictor for B.

tnum_r

Trial number for the fully randomized version.

tnum_b

Trial number for the blocked version.

Y_r

Response variable for the fully randomized version.

Y_b

Response variable for the fully blocked version.

item_rint

Item random intercept effect (verbose mode only.)

item_rslp

Item random slope effect (verbose mode only).

subj_rint

Subject random intercept effect (verbose mode only.)

subj_rslp

Subject random slope effect (verbose mode only).

Y_fit

Fitted value (all effects except residual.)

dalejbarr/autocorr documentation built on March 27, 2021, 3:03 a.m.