Compute "Adult Self Report [Parent] (Adaptive Functioning Scale - Personal strength): Number missing"
Source:R/scores_mh_aseba.R
compute_mh_p_asr__afs__strng_nm.Rd
Computes the summary score mh_p_asr__afs__strng_nm
Adult Self Report [Parent] (Adaptive Functioning Scale - Personal
strength): Number missing
Summarized variables:
mh_p_asr__strng_001
mh_p_asr__strng_002
mh_p_asr__strng_003
mh_p_asr__strng_004
mh_p_asr__strng_005
mh_p_asr__strng_006
mh_p_asr__strng_007
mh_p_asr__strng_008
mh_p_asr__strng_009
mh_p_asr__strng_010
mh_p_asr__strng_011
Usage
vars_mh_p_asr__afs__strng
compute_mh_p_asr__afs__strng_nm(
data,
name = "mh_p_asr__afs__strng_nm",
exclude = c("777", "999"),
combine = TRUE
)
Format
vars_mh_p_asr__afs__strng
is vector of all column names
used to compute summary score of mh_p_asr__afs__strng
scores.
Arguments
- data
tbl. Data frame containing the columns to be summarized.
- name
character. Name of the summary score column.
- exclude
character vector. Values to be excluded from the summary score.
- combine
logical. If
TRUE
(default), the summary score is is appended as a new column to the input data frame. IfFALSE
, the summary score is returned as a separate one-column data frame.
Examples
if (FALSE) { # \dontrun{
compute_mh_p_asr__afs__strng_nm(data) |>
select(
any_of(c("mh_p_asr__afs__strng_nm", vars_mh_p_asr__afs__strng))
)
} # }