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

Description

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

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

Summarized variables:
- su_y_cigexp__pos_001
- su_y_cigexp__pos_002
- su_y_cigexp__pos_003
- su_y_cigexp__pos_004
Excluded values:
- 0
Validation criterion: maximally 2 of 4 items missing

vars_su_y_cigexp__pos
compute_su_y_cigexp__pos_prsum(
  data,
  name = "su_y_cigexp__pos_prsum",
  combine = TRUE,
  exclude = c("0"),
  max_na = 2
)

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

vars_su_y_cigexp__pos is a character vector of all column names used to compute summary score of su_y_cigexp__pos_prsum and su_y_cigexp__pos_nm.

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)
exclude: character vector. Values to be excluded from the summary score calculation.
max_na: numeric, positive whole number. Number of missing items allowed (Default: 1).