vars_mh_y_ple__exp: Compute "Life Events [Youth] (Severity of Good Events): Sum [Validation: No more than 5 events missing and no experience/severity items missing or declined]"

Description

Computes the summary score mh_y_ple__severity__good_sum Life Events [Youth] (Severity of Good Events): Sum [Validation: No more than 5 events missing and no experience/severity items missing or declined]

Summarized variables:
- mh_y_ple__exp_001
- mh_y_ple__exp_002
- mh_y_ple__exp_003
- mh_y_ple__exp_004
- mh_y_ple__exp_005
- mh_y_ple__exp_006
- mh_y_ple__exp_007
- mh_y_ple__exp_008
- mh_y_ple__exp_009
- mh_y_ple__exp_010
- mh_y_ple__exp_011
- mh_y_ple__exp_012
- mh_y_ple__exp_013
- mh_y_ple__exp_014
- mh_y_ple__exp_015
- mh_y_ple__exp_016
- mh_y_ple__exp_017
- mh_y_ple__exp_018
- mh_y_ple__exp_019
- mh_y_ple__exp_020
- mh_y_ple__exp_021
- mh_y_ple__exp_022
- mh_y_ple__exp_023
- mh_y_ple__exp_024
- mh_y_ple__exp_025
- mh_y_ple__severity_001
- mh_y_ple__severity_002
- mh_y_ple__severity_003
- mh_y_ple__severity_004
- mh_y_ple__severity_005
- mh_y_ple__severity_006
- mh_y_ple__severity_007
- mh_y_ple__severity_008
- mh_y_ple__severity_009
- mh_y_ple__severity_010
- mh_y_ple__severity_011
- mh_y_ple__severity_012
- mh_y_ple__severity_013
- mh_y_ple__severity_014
- mh_y_ple__severity_015
- mh_y_ple__severity_016
- mh_y_ple__severity_017
- mh_y_ple__severity_018
- mh_y_ple__severity_019
- mh_y_ple__severity_020
- mh_y_ple__severity_021
- mh_y_ple__severity_022
- mh_y_ple__severity_023
- mh_y_ple__severity_024
- mh_y_ple__severity_025
Excluded values:
- 444
- 777
- 999
Validation criterion: maximally 5 of 25 items missing

Usage

vars_mh_y_ple__exp
compute_mh_y_ple__severity__good_sum(
  data,
  name = "mh_y_ple__severity__good_sum",
  combine = TRUE,
  max_na = 5
)

Value

tbl. The input data frame with the summary score appended as a new column.

Format

vars_mh_y_ple__exp is a character vector of all column names used to compute summary score of mh_y_ple__exp.

Arguments

data: tbl. Data frame containing the columns to be summarized.
name: character. Name of the new column to be created (Default: the name used in the ABCD data release).
combine: logical. If TRUE, the new column will be bound to the input data frame. If FALSE, the new column will be created as a new data frame.
max_na: numeric, positive whole number. Number of missing items allowed (Default: 5).