These functions are meant for people who want to develop their own models based
on the data management structure of dexter. The benefit is some extra speed and less memory usage
compared to using get_responses or get_testscores.
The return value of get_resp_data can be used as the 'dataSrc' argument in analysis functions.
get_resp_data(
dataSrc,
qtpredicate = NULL,
extra_columns = NULL,
summarised = FALSE,
env = NULL,
protect_x = TRUE,
retain_person_id = TRUE,
merge_within_persons = FALSE,
parms_check = NULL,
raw = FALSE
)
get_resp_matrix(dataSrc, qtpredicate = NULL, env = NULL)data.frame, integer matrix, dexter database or `dx_resp_data` object
quoted predicate, e.g. quote(booklet_id=='bk01')
to be returned in addition to person_id, booklet_id, item_score, item_id
if TRUE, no item scores are returned, just booklet scores
environment for evaluation of qtpredicate, defaults to caller environment
best set TRUE (default)
whether to retain the original person_id levels or just use arbitrary integers
merge different booklets for the same person together
data.frame of item_id, item_score to check for coverage of data
if raw is TRUE, no sum scores, booklets, or design is provided and arguments, 'parms_check' and 'summarised' are ignored
returns a list with class `dx_resp_data` with elements
when summarised is FALSE, a tibble(person_id, booklet_id, item_id, item_score, booklet_score [, extra_columns]), sorted in such a way that all rows pertaining to the same person-booklet are together
when summarised is TRUE, a tibble(person_id, booklet_id, booklet_score [, extra_columns])
tibble(booklet_id, item_id), sorted
returns a matrix of item scores as commonly used in other IRT packages, facilitating easy connection of your own package to the data management capabilities of dexter
Regular users are advised not to use these functions as incorrect use can crash your R-session or lead to unexpected results.