vars_mh_p_ple__v04: Compute "Life Events [Parent] (Events): Count - Version 4 (Starting at Year 7) [Validation: No more than 4 missing or declined]"

Description

Computes the summary score mh_p_ple_count__v04 Life Events [Parent] (Events): Count - Version 4 (Starting at Year 7) [Validation: No more than 4 missing or declined]

Summarized variables:
- mh_p_ple_001
- mh_p_ple_002
- mh_p_ple_007
- mh_p_ple_008
- mh_p_ple_011
- mh_p_ple_012
- mh_p_ple_013
- mh_p_ple_014
- mh_p_ple_015
- mh_p_ple_018
- mh_p_ple_019
- mh_p_ple_021
- mh_p_ple_022
- mh_p_ple_023
- mh_p_ple_024
- mh_p_ple_026
- mh_p_ple_027
- mh_p_ple_028
- mh_p_ple_032
- mh_p_ple_033
Excluded values:
- 444
- 777
- 999
Validation criterion: maximally 4 of 20 items missing

Usage

vars_mh_p_ple__v04
compute_mh_p_ple_count__v04(
  data,
  name = "mh_p_ple_count__v04",
  events = "ses-07A",
  combine = TRUE,
  max_na = 4
)

Value

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

Format

vars_mh_p_ple__v04 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: 4).