Skip to contents

Compute "Adult Self Report [Parent] (Syndrome Scale - Aggressive Behavior): Number missing"

Source: R/scores_mh_aseba.R
compute_mh_p_asr__synd__aggr_nm.Rd

Computes the summary score mh_p_asr__synd__aggr_nm Adult Self Report [Parent] (Syndrome Scale - Aggressive Behavior): Number missing

  • Summarized variables:

    • mh_p_asr__aggr_001

    • mh_p_asr__aggr_002

    • mh_p_asr__aggr_003

    • mh_p_asr__aggr_004

    • mh_p_asr__aggr_005

    • mh_p_asr__aggr_006

    • mh_p_asr__aggr__hypimp_001

    • mh_p_asr__aggr__antsoc_001

    • mh_p_asr__aggr__antsoc_002

    • mh_p_asr__aggr__antsoc_003

    • mh_p_asr__aggr__antsoc_004

    • mh_p_asr__aggr__antsoc_005

    • mh_p_asr__aggr__antsoc_006

    • mh_p_asr__aggr__antsoc_007

    • mh_p_asr__aggr__antsoc_008

Usage

vars_mh_p_asr__synd__aggr

compute_mh_p_asr__synd__aggr_nm(
  data,
  name = "mh_p_asr__synd__aggr_nm",
  exclude = c("777", "999"),
  combine = TRUE
)

Format

vars_mh_p_asr__synd__aggr is vector of all column names used to compute summary score of mh_p_asr__synd__aggr 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. If FALSE, the summary score is returned as a separate one-column data frame.

Value

tbl. see combine.

Examples

if (FALSE) { # \dontrun{
compute_mh_p_asr__synd__aggr_nm(data) |>
  select(
    any_of(c("mh_p_asr__synd__aggr_nm", vars_mh_p_asr__synd__aggr))
  )
} # }