View source: R/scores_mh_aseba.R
| compute_mh_y_ysr__synd__aggr_tscore | R Documentation | 
Computes the summary score mh_y_ysr__synd__aggr_tscore
Youth Self Report [Youth] (Syndrome Scale - Aggressive): T-score
Summarized variables:
mh_y_ysr__aggr__opp_001
mh_y_ysr__aggr__cond_001
mh_y_ysr__aggr_001
mh_y_ysr__aggr_002
mh_y_ysr__aggr__cond_002
mh_y_ysr__aggr__opp_002
mh_y_ysr__aggr__opp_003
mh_y_ysr__aggr__cond_003
mh_y_ysr__aggr__cond_004
mh_y_ysr__aggr_003
mh_y_ysr__aggr__opp_004
mh_y_ysr__aggr_004
mh_y_ysr__aggr_005
mh_y_ysr__aggr_006
mh_y_ysr__aggr__opp_005
mh_y_ysr__aggr__cond_005
mh_y_ysr__aggr__adhd_001
Excluded values:
777
999
Validation criterion: maximally 1 of 17 items missing
compute_mh_y_ysr__synd__aggr_tscore(
  data,
  data_norm = NULL,
  name = "mh_y_ysr__synd__aggr_tscore",
  col_age = "mh_y_ysr_age",
  col_sex = "ab_g_stc__cohort_sex",
  max_na = 1,
  exclude = c("777", "999"),
  combine = TRUE
)
data | 
 tbl. Data frame containing the columns to be summarized.  | 
data_norm | 
 tbl. Data frame containing the norm (T-score) values.
see   | 
name | 
 character. Name of the summary score column.  | 
col_age | 
 character, name of the age column. see   | 
col_sex | 
 character, name of the sex column. see   | 
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_y_ysr__synd__aggr_nm()
## Not run: 
compute_mh_y_ysr__synd__aggr_tscore(data) |>
  select(
    any_of(c("mh_y_ysr__synd__aggr_tscore", vars_mh_y_ysr__synd__aggr))
  )
## End(Not run)
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