View source: R/scores_mh_aseba.R
compute_mh_p_asr__critic_sum | R Documentation |
Computes the summary score mh_p_asr__critic_sum
Adult Self Report [Parent] (Critical Items): Sum
Summarized variables:
mh_p_asr__aggr_001
mh_p_asr__aggr__antsoc_003
mh_p_asr__aggr__antsoc_006
mh_p_asr__aggr__antsoc_008
mh_p_asr__anxdep__dep_001
mh_p_asr__anxdep__dep_004
mh_p_asr__anxdep__dep_005
mh_p_asr__attn__inatt_002
mh_p_asr__othpr__hypimp_001
mh_p_asr__othpr__antsoc_001
mh_p_asr__rule_001
mh_p_asr__rule_003
mh_p_asr__rule__antsoc_007
mh_p_asr__tho_001
mh_p_asr__tho_002
mh_p_asr__tho_005
mh_p_asr__tho_006
mh_p_asr__tho_007
mh_p_asr__tho__dep_001
Excluded values:
777
999
Validation criterion: maximally 1 of 19 items missing
compute_mh_p_asr__critic_sum(
data,
name = "mh_p_asr__critic_sum",
max_na = 1,
exclude = c("777", "999"),
combine = TRUE
)
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. |
exclude |
character vector. Values to be excluded from the summary score. |
combine |
logical. If |
tbl. see combine
.
compute_mh_p_asr__critic_nm()
## Not run:
compute_mh_p_asr__critic_sum(data) |>
select(
any_of(c("mh_p_asr__critic_sum", vars_mh_p_asr__critic))
)
## End(Not run)
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