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ABCDscores (version 6.1.0)

vars_mh_y_ple: Compute "Life Events [Youth] (Events): Count [Validation: No more than 5 missing or declined]"

Description

Computes the summary score mh_y_ple_count Life Events [Youth] (Events): Count [Validation: No more than 5 missing or declined]

  • Summarized variables:

    • mh_y_ple_001

    • mh_y_ple_002

    • mh_y_ple_003

    • mh_y_ple_004

    • mh_y_ple_005

    • mh_y_ple_006

    • mh_y_ple_007

    • mh_y_ple_008

    • mh_y_ple_009

    • mh_y_ple_010

    • mh_y_ple_011

    • mh_y_ple_012

    • mh_y_ple_013

    • mh_y_ple_014

    • mh_y_ple_015

    • mh_y_ple_016

    • mh_y_ple_017

    • mh_y_ple_018

    • mh_y_ple_019

    • mh_y_ple_020

    • mh_y_ple_021

    • mh_y_ple_022

    • mh_y_ple_023

    • mh_y_ple_024

    • mh_y_ple_025

  • Excluded values:

    • 444

    • 777

    • 999

  • Validation criterion: maximally 5 of 25 items missing

Usage

vars_mh_y_ple
compute_mh_y_ple_count(
  data,
  name = "mh_y_ple_count",
  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 is a character vector of all column names used to compute summary score of mh_y_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).

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).