ss_nm: Compute number missing

In ABCDscores: Summary Scores of the Adolescent Brain Cognitive Development (ABCD) Study

Compute number missing

Description

Computes the number of missing items among a set of variables, with the option to exclude certain values (for non-responses like "Don't know" / "Decline to answer"). If all items are NA, the summary score will not be computed (assuming that the questionnaire was not filled out at all).

Usage

ss_nm(data, name, vars, exclude = NULL, events = NULL, combine = TRUE)

Arguments

data	tbl. Data frame containing the columns to be summarized.
name	character. The name of the summary score.
vars	character vector. The names of the columns to be summarized.
exclude	character (vector). The value(s) to be excluded (Default: NULL; all values are used).
events	character (vector). Only compute the summary score for the specified events (Default: NULL; computed for all events).
combine	logical. Whether to combine the summary score column with the input data frame (Default: TRUE).

Value

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

Examples

data <- tibble::tribble(
  ~session_id, ~a, ~b,  ~c,  ~d,  ~e,
  "ses-00A",   1,  1,   1,   1,   NA,
  "ses-01A",   2,  777, 2,   2,   2,
  "ses-02A",   3,  3,   999, 3,   3,
  "ses-02A",   4,  4,   4,   777, NA,
  "ses-03A",   5,  NA,  777, 999, 5,
  "ses-03A",   NA, NA,  NA,  NA,  NA,
  "ses-04A",   1,  NA,  NA,  NA,  NA
)

data |>
  ss_nm(
    name    = "nm",
    vars    = c("a", "b", "c", "d", "e"),
    exclude = c("777", "999")
  )

data |>
  ss_nm(
    name    = "nm",
    vars    = c("a", "b", "c", "d", "e"),
    exclude = c("777", "999"),
    event   = c("ses-00A", "ses-01A")
  )

ABCDscores documentation built on Sept. 11, 2025, 5:08 p.m.