Compute "Adult Self Report [Parent] (Critical Items): Number missing"
Source:R/scores_mh_aseba.R
compute_mh_p_asr__critic_nm.RdComputes the summary score mh_p_asr__critic_nm
Adult Self Report [Parent] (Critical Items): Number missing
Summarized variables:
mh_p_asr__aggr_001mh_p_asr__aggr__antsoc_003mh_p_asr__aggr__antsoc_006mh_p_asr__aggr__antsoc_008mh_p_asr__anxdep__dep_001mh_p_asr__anxdep__dep_004mh_p_asr__anxdep__dep_005mh_p_asr__attn__inatt_002mh_p_asr__othpr__hypimp_001mh_p_asr__othpr__antsoc_001mh_p_asr__rule_001mh_p_asr__rule_003mh_p_asr__rule__antsoc_007mh_p_asr__tho_001mh_p_asr__tho_002mh_p_asr__tho_005mh_p_asr__tho_006mh_p_asr__tho_007mh_p_asr__tho__dep_001
Excluded values:
777
999
Usage
vars_mh_p_asr__critic
compute_mh_p_asr__critic_nm(
data,
name = "mh_p_asr__critic_nm",
exclude = c("777", "999"),
combine = TRUE
)Format
vars_mh_p_asr__critic is vector of all column names
used to compute summary score of mh_p_asr__critic 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__critic_nm(data) |>
select(
any_of(c("mh_p_asr__critic_nm", vars_mh_p_asr__critic))
)
} # }