Compute "Adult Self Report [Parent] (Syndrome Scale - Attention problems): Sum"
Source:R/scores_mh_aseba.R
compute_mh_p_asr__synd__attn_sum.RdComputes the summary score mh_p_asr__synd__attn_sum
Adult Self Report [Parent] (Syndrome Scale - Attention problems): Sum
Summarized variables:
mh_p_asr__attn_001mh_p_asr__attn_002mh_p_asr__attn_003mh_p_asr__attn_004mh_p_asr__attn_005mh_p_asr__attn__inatt_001mh_p_asr__attn__inatt_002mh_p_asr__attn__inatt_003mh_p_asr__attn__inatt_004mh_p_asr__attn__inatt_005mh_p_asr__attn__inatt_006mh_p_asr__attn__inatt_007mh_p_asr__attn__antsoc_001mh_p_asr__attn__dep_001mh_p_asr__attn__dep_002
Excluded values:
777
999
Validation criterion: maximally 1 of 15 items missing
Usage
compute_mh_p_asr__synd__attn_sum(
data,
name = "mh_p_asr__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.
NULLmeans 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_asr__synd__attn_sum(data) |>
select(
any_of(c("mh_p_asr__synd__attn_sum", vars_mh_p_asr__synd__attn))
)
} # }