vars_mh_p_ple__v02: Compute "Life Events [Parent] (Events): Count - Version 2 (Year 4 and Year 5) [Validation: No more than 6 missing or declined]"

Description

Computes the summary score mh_p_ple_count__v02 Life Events [Parent] (Events): Count - Version 2 (Year 4 and Year 5) [Validation: No more than 6 missing or declined]

Summarized variables:
- mh_p_ple_001
- mh_p_ple_002
- mh_p_ple_003
- mh_p_ple_004
- mh_p_ple_005
- mh_p_ple_006
- mh_p_ple_007
- mh_p_ple_008
- mh_p_ple_009
- mh_p_ple_010
- mh_p_ple_011
- mh_p_ple_012
- mh_p_ple_013
- mh_p_ple_014
- mh_p_ple_015
- mh_p_ple_016
- mh_p_ple_017
- mh_p_ple_018
- mh_p_ple_019
- mh_p_ple_020
- mh_p_ple_021
- mh_p_ple_022
- mh_p_ple_023
- mh_p_ple_024
- mh_p_ple_025
- mh_p_ple_026
- mh_p_ple_027
- mh_p_ple_028
- mh_p_ple_029
- mh_p_ple_030
- mh_p_ple_031
- mh_p_ple_032
Excluded values:
- 444
- 777
- 999
Validation criterion: maximally 6 of 32 items missing

Usage

vars_mh_p_ple__v02
compute_mh_p_ple_count__v02(
  data,
  name = "mh_p_ple_count__v02",
  events = c("ses-04A", "ses-05A"),
  combine = TRUE,
  max_na = 6
)

Value

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

Format

vars_mh_p_ple__v02 is a character vector of all column names used to compute summary score of mh_p_ple.

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).
events: character vector. Event (session ID) to be used.
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: 6).