compose_dataset: Composes dataset

In Famondir/birtms: Creates and analyses Bayesian IRT models

Description

Composes a dataset in long format for the usage in birtms from 1st) a dataset that contains the responsedata linked to the person identifiers (and possibly person covariables) 2nd) a dataset that contains the person covariables linked to the person identifiers 3rd) a dataset that contains the item covariables linked to the item identifiers (the column names from the responsedataset) and 4th) a dataset that contains covariables that vary by person and item (called situation covariables) linked to person and item identifiers (e. g. ordering of the items in a test that randomizes the item order)

Usage

compose_dataset(
  response_data,
  response_columns,
  variable_specifications = NULL,
  person_data = NULL,
  item_data = NULL,
  situation_data = NULL
)

Arguments

response_data	A tibble or dataframe with person identifiers and responsdata (and possibly person covariables).
response_columns	A character or symbol vector with all columns that represent item responses or a range of columns specified corresponding to dplyr::select() rules (e. g.: item01:item25).
variable_specifications	Named list of characters or strings.
person_data	A tibble or dataframe with person identifiers linked to person covariables.
item_data	A tibble or dataframe with item identifiers linked to item covariables.
situation_data	A tibble or dataframe with person and item identifiers linked to situation covariables.

Value

A tibble.

Examples

response_data <- tibble::tribble(
~person, ~i1, ~i2,
'a', 1, 0,
'b', 1, 1,
'c', 0, 0,
 )

variable_specs <- list(response = 'response', item ='item', person = 'person')

compose_dataset(response_data, i1:i2, variable_specs)

Famondir/birtms documentation built on Feb. 18, 2022, 2:51 a.m.