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Compute "Nicotine Subjective Response and Effects [Youth] (Intensity of positive and negative effects of first vape use): Sum - Negative score inverted [Validation: None missing or declined]"

Source: R/scores_su.R
compute_su_y_nicsre__vape_sum.Rd

Computes the summary score su_y_nicsre__vape_sum Nicotine Subjective Response and Effects [Youth] (Intensity of positive and negative effects of first vape use): Sum - Negative score inverted [Validation: None missing or declined]

  • Summarized variables:

    • su_y_nicsre__vape__pos_001

    • su_y_nicsre__vape__pos_001__v01

    • su_y_nicsre__vape__neg_001

    • su_y_nicsre__vape__neg_001__v01

  • Excluded values: none

  • Validation criterion: none of 2 items missing

Usage

vars_su_y_nicsre__vape

compute_su_y_nicsre__vape_sum(
  data,
  name = "su_y_nicsre__vape_sum",
  combine = TRUE,
  max_na = 0
)

Format

vars_su_y_nicsre__vape is a character vector of all column names used to compute summary scores of compute_su_y_nicsre__vape (_sum, _nm).

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: 0).

Value

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