Skip to contents

Compute "Caffeine Use Questionnaire [Youth] (Coffee): Sum [Validation: None]"

Source: R/scores_su.R
compute_su_y_caff__coffee_sum.Rd

Computes the summary score su_y_caff__coffee_sum Caffeine Use Questionnaire [Youth] (Coffee): Sum [Validation: None]

  • Summarized variables:

    • su_y_caff__coffee_001

    • su_y_caff__coffee_001__01__01

    • su_y_caff__coffee_001__01__02

    • su_y_caff__coffee_001__01__03

    • su_y_caff__coffee_001__02__01

    • su_y_caff__coffee_001__02__02

    • su_y_caff__coffee_001__02__03

    • su_y_caff__coffee_001__03__01

    • su_y_caff__coffee_001__03__02

    • su_y_caff__coffee_001__03__03

    • su_y_caff__coffee_001__04__01

    • su_y_caff__coffee_001__04__02

    • su_y_caff__coffee_001__04__03

    • su_y_caff__coffee_001__l

  • Excluded values: none

  • Validation criterion: none

Usage

vars_su_y_caff__coffee

compute_su_y_caff__coffee_sum(
  data,
  name = "su_y_caff__coffee_sum",
  combine = TRUE
)

Format

vars_su_y_caff__coffee is a character vector of all column names used to compute compute_su_y_caff__coffee_sum.

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.

Value

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