ss_max: Compute max across columns

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

Compute max across columns

Description

Computes the max of a set of variables, with the option to exclude certain values (for non-responses like "Don't know"/"Decline to answer") and to set a maximum number of missing values.

Usage

ss_max(
  data,
  name,
  vars,
  max_na = NULL,
  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.
max_na	numeric, positive whole number. Number of missing items allowed (Default: NULL; no restriction on missing values).
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(
  ~id,    ~session_id, ~A, ~B,  ~C, ~D,
  "id1",  "1",         1,  5,   2,  NA,
  "id1",  "2",         2,  4,   NA, NA,
  "id1",  "3",         3,  3,   3,  3,
  "id1",  "4",         4,  2,   4,  2,
  "id1",  "5",         5,  1,   5,  3
)

ss_max(
  data,
  name = "summary",
  vars = c("A", "B", "C", "D")
)

ss_max(
  data,
  name = "summary",
  vars = c("A", "B", "C", "D"),
  max_na = 1,
  exclude = c("1")
)

ss_max(
  data,
  name = "summary",
  vars = c("A", "B", "C", "D"),
  max_na = 1,
  exclude = c("1"),
  events = c("4")
)

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