Computes the summary score mh_y_ysr_sum
Youth Self Report [Youth]: Sum
Summarized variables:
mh_y_ysr__attn__adhd_001
mh_y_ysr__attn__adhd_002
mh_y_ysr__attn__adhd_003
mh_y_ysr__attn__adhd_004
mh_y_ysr__attn__adhd_005
mh_y_ysr__othpr__adhd_001
mh_y_ysr__aggr__adhd_001
mh_y_ysr__soc__anx_001
mh_y_ysr__anxdep__anx_001
mh_y_ysr__anxdep__anx_002
mh_y_ysr__anxdep__anx_003
mh_y_ysr__anxdep__anx_004
mh_y_ysr__som__anx_001
mh_y_ysr__anxdep__anx_005
mh_y_ysr__anxdep__anx_006
mh_y_ysr__anxdep__anx_007
mh_y_ysr__aggr__cond_001
mh_y_ysr__aggr__cond_002
mh_y_ysr__rule__cond_001
mh_y_ysr__rule__cond_002
mh_y_ysr__aggr__cond_003
mh_y_ysr__rule__cond_003
mh_y_ysr__rule__cond_004
mh_y_ysr__aggr__cond_004
mh_y_ysr__rule__cond_005
mh_y_ysr__rule__cond_006
mh_y_ysr__rule__cond_007
mh_y_ysr__rule__cond_008
mh_y_ysr__rule__cond_009
mh_y_ysr__aggr__cond_005
mh_y_ysr__rule__cond_010
mh_y_ysr__wthdep__dep_001
mh_y_ysr__anxdep__dep_001
mh_y_ysr__tho__dep_001
mh_y_ysr__othpr__dep_001
mh_y_ysr__anxdep__dep_002
mh_y_ysr__anxdep__dep_003
mh_y_ysr__som__dep_001
mh_y_ysr__tho__dep_002
mh_y_ysr__othpr__dep_002
mh_y_ysr__anxdep__dep_004
mh_y_ysr__tho__dep_003
mh_y_ysr__wthdep__dep_002
mh_y_ysr__wthdep__dep_003
mh_y_ysr__aggr__opp_001
mh_y_ysr__aggr__opp_002
mh_y_ysr__aggr__opp_003
mh_y_ysr__aggr__opp_004
mh_y_ysr__aggr__opp_005
mh_y_ysr__som__somat_001
mh_y_ysr__som__somat_002
mh_y_ysr__som__somat_003
mh_y_ysr__som__somat_004
mh_y_ysr__som__somat_005
mh_y_ysr__som__somat_006
mh_y_ysr__som__somat_007
mh_y_ysr__aggr_001
mh_y_ysr__aggr_002
mh_y_ysr__aggr_003
mh_y_ysr__aggr_004
mh_y_ysr__aggr_005
mh_y_ysr__aggr_006
mh_y_ysr__anxdep_001
mh_y_ysr__anxdep_002
mh_y_ysr__attn_001
mh_y_ysr__attn_002
mh_y_ysr__attn_003
mh_y_ysr__attn_004
mh_y_ysr__rule_001
mh_y_ysr__rule_002
mh_y_ysr__rule_003
mh_y_ysr__rule_004
mh_y_ysr__rule_005
mh_y_ysr__wthdep_001
mh_y_ysr__wthdep_002
mh_y_ysr__wthdep_003
mh_y_ysr__wthdep_004
mh_y_ysr__wthdep_005
mh_y_ysr__som_001
mh_y_ysr__othpr_001
mh_y_ysr__othpr_002
mh_y_ysr__othpr_003
mh_y_ysr__othpr_004
mh_y_ysr__othpr_005
mh_y_ysr__othpr_006
mh_y_ysr__othpr_007
mh_y_ysr__soc_001
mh_y_ysr__soc_002
mh_y_ysr__soc_003
mh_y_ysr__soc_004
mh_y_ysr__soc_005
mh_y_ysr__soc_006
mh_y_ysr__soc_007
mh_y_ysr__soc_008
mh_y_ysr__soc_009
mh_y_ysr__soc_010
mh_y_ysr__tho_001
mh_y_ysr__tho_002
mh_y_ysr__tho_003
mh_y_ysr__tho_004
mh_y_ysr__tho_005
mh_y_ysr__tho_006
mh_y_ysr__tho_007
mh_y_ysr__tho_008
mh_y_ysr__tho_009
Excluded values:
777
999
Validation criterion: maximally 7 of 105 items missing
compute_mh_y_ysr_sum(
data,
name = "mh_y_ysr_sum",
max_na = 7,
exclude = c("777", "999"),
combine = TRUE
)tbl. see combine.
tbl. Data frame containing the columns to be summarized.
character. Name of the summary score column.
numeric, positive whole number. Number of missing items
allowed. NULL means no limit.
character vector. Values to be excluded from the summary score.
logical. If TRUE (default), the summary score is
is appended as a new column to the input data frame. If FALSE, the
summary score is returned as a separate one-column data frame.
compute_mh_y_ysr_nm()
if (FALSE) {
compute_mh_y_ysr_sum(data) |>
select(
any_of(c("mh_y_ysr_sum", vars_mh_y_ysr))
)
}
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