Compute "Adult Behavior Checklist [Parent] (Syndrome Scale - Attention problems): Sum"
Source:R/scores_mh_aseba.R
compute_mh_p_abcl__synd__attn_sum.Rd
Computes the summary score mh_p_abcl__synd__attn_sum
Adult Behavior Checklist [Parent] (Syndrome Scale - Attention
problems): Sum
Summarized variables:
mh_p_abcl__attn_001
mh_p_abcl__attn_002
mh_p_abcl__attn_003
mh_p_abcl__attn_004
mh_p_abcl__attn_005
mh_p_abcl__attn_006
mh_p_abcl__attn__adhd_001
mh_p_abcl__attn__adhd_002
mh_p_abcl__attn__adhd_003
mh_p_abcl__attn__adhd_004
mh_p_abcl__attn__adhd_005
mh_p_abcl__attn__adhd_006
mh_p_abcl__attn__adhd_007
mh_p_abcl__attn__antsoc_001
mh_p_abcl__attn__dep_001
mh_p_abcl__attn__dep_002
mh_p_abcl__attn__dep_003
Usage
compute_mh_p_abcl__synd__attn_sum(
data,
name = "mh_p_abcl__synd__attn_sum",
max_na = 1,
exclude = c("777", "999"),
combine = TRUE
)
Arguments
- data
tbl. Data frame containing the columns to be summarized.
- name
character. Name of the summary score column.
- max_na
numeric, positive whole number. Number of missing items allowed.
NULL
means no limit.- 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_abcl__synd__attn_sum(data) |>
select(
any_of(c("mh_p_abcl__synd__attn_sum", vars_mh_p_abcl__synd__attn))
)
} # }