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Compute "Life Events [Youth] (Experience Bad Events): Count [Validation: No more than 5 events missing and no experience items missing or declined]"

Source: R/scores_mh.R
compute_mh_y_ple__exp__bad_count.Rd

Computes the summary score mh_y_ple__exp__bad_count Life Events [Youth] (Experience Bad Events): Count [Validation: No more than 5 events missing and no experience 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

  • Excluded values:

    • 444

    • 777

    • 999

  • Validation criterion: maximally 5 of 25 items missing

Usage

compute_mh_y_ple__exp__bad_count(
  data,
  name = "mh_y_ple__exp__bad_count",
  combine = TRUE,
  max_na = 5
)

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).

Value

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