Load data from existing files — data

data_existing() is a wrapper for three separate calls to read.csv() that packages the output into the object used by meow().

Usage

data_existing(resp_path, pers_path, item_path)

Arguments

resp_path: A file path to a long form .csv file. File should have three columns, id which contains a numeric respondent identifier, item which contains a numeric item identifier, and resp which contains an item response. Be sure the form of the item response comports with the parameter update functions you choose to use.
pers_path: A file path to a wide form .csv file that contains true person parameter values, with one person per row. Include a person index column, named id. Default column name for unidimensional person ability should be theta
item_path: A file path to a wide form .csv file that contains true item parameter values, with one item per row. Include an item index column, named item. Default column names for difficulty should be b and default column name for discrimination should be a,

Value

A list with three components: A dataframe of item response named resp, a dataframe of true person parameters named pers_tru, and a dataframe of true item parameters named item_tru