Skip to contents

Compute "Cigarette Expectancies (ASCQ) [Youth] (Strength of negative expectancies): Prorated sum"

Source: R/scores_su.R
compute_su_y_cigexp__neg_prsum.Rd

Computes the summary score su_y_cigexp__neg_prsum Cigarette Expectancies (ASCQ) [Youth] (Strength of negative expectancies): Prorated sum

Note: all 0s are changed to NAs prior to calculating pro-rated sum

  • Summarized variables:

    • su_y_cigexp__neg_001

    • su_y_cigexp__neg_002

  • Excluded values: 0

  • Validation criterion: maximally 0 of 2 items missing

Usage

vars_su_y_cigexp__neg

compute_su_y_cigexp__neg_prsum(
  data,
  name = "su_y_cigexp__neg_prsum",
  combine = TRUE,
  max_na = 0
)

Format

vars_su_y_cigexp__neg is a character vector of all column names used to compute summary score of su_y_cigexp__neg_prsum and su_y_cigexp__neg_nm.

Arguments

data

tbl. Data frame containing the columns to be summarized.

name

character, Name of the new column to be created. Default is the name in description, but users can change it.

combine

logical, If TRUE (default), the summary score will be appended to the input data frame. If FALSE, the summary score for each participant will be returned as a separate data frame. (Default: TRUE)

max_na

numeric, positive whole number. Number of missing items allowed (Default: 1).

Value

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