Simulate ordinal or continuous (0,1) ratings

Simulate ordinal or continuous (0,1) ratings

Usage

sim_data(
  J,
  B,
  W = J,
  AGREEMENT,
  ALPHA,
  BETA = NULL,
  DATA_TYPE = c("ordinal", "continuous"),
  K = 6,
  SEED = 123
)

Arguments

J

Number of items.

B

Budget per item (i.e. number of workers assigned to each item).

W

Maximum number of workers.

AGREEMENT

General agreement.

ALPHA

Item-specific intercepts.

BETA

Worker-specific intercepts.

DATA_TYPE

Choose between ordinal or continuous.

K

Number of categories in case of ordinal data.

SEED

RNG seed.

Value

Returns a dataframe with columns id_items, id_worker and rating

Examples

set.seed(123)

# generate from one-way model
# (varying item effects, worker effects fixed to zero)
dt1way <- sim_data(
 J = 50,
 B = 5,
 AGREEMENT = .8,
 ALPHA = runif(50, 0, 1),
 DATA_TYPE = "continuous",
 SEED = 123
)
# generate from two-way model
# (varying item effects, varying worker effects)
dt2way <- sim_data(
 J = 50,
 W = 40,
 B = 5,
 AGREEMENT = .8,
 ALPHA = runif(50, 0, 1),
 BETA = runif(40, 0, 1),
 DATA_TYPE = "continuous",
 SEED = 123
)