This function is the main function in the capl
package. It is a wrapper function that calls all other capl
functions to compute all CAPL-2 scores and
interpretations from raw data at once. If required CAPL-2 variables are missing, the function will create the variables and set values for these
variables to NA so the function can proceed.
get_capl(raw_data = NULL, sort = "asis", version = 2)
A data frame of raw CAPL-2 data.
An optional character vector representing how the variables in the returned data frame are to be sorted (valid values are "asis, "abc" and "zyx"; valid values are not case-sensitive). This argument is set to "asis" by default.
An optional numeric (integer) vector representing the version of CAPL. This argument is set to 2 by default. If set to 1, get_fill_in_the_blanks_score()
will ignore the when_cooling_down parameter and re-weight the score so that it's out of six.
Returns a merged data frame of raw data and CAPL-2 scores and interpretations.
Other capl
functions called by this function include: get_missing_capl_variables()
, get_pacer_20m_laps()
, get_pacer_score()
,
get_capl_interpretation()
, get_plank_score()
, get_camsa_time_score()
, get_camsa_skill_time_score()
, get_camsa_score()
, get_pc_score()
,
get_capl_domain_status()
, get_pedometer_wear_time()
, validate_steps()
, get_step_average()
, get_step_score()
,
get_self_report_pa_score()
, get_db_score()
, get_predilection_score()
, get_adequacy_score()
,
get_intrinsic_motivation_score()
, get_pa_competence_score()
, get_mc_score()
, get_binary_score()
, get_fill_in_the_blanks_score()
,
get_ku_score()
and get_capl_score()
# NOT RUN {
get_capl(raw_data)
# }
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