ss_nm_mh_ple: Count missing values for MH-PLE scores

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

Count missing values for MH-PLE scores

Description

Counts missing values for variables with forking logic, where variables may only be applicable based on certain conditions. Excluded values are treated as missing.

Usage

ss_nm_mh_ple(
  data,
  name,
  fork_vars,
  fork_val = "1",
  vars,
  exclude = NULL,
  events = NULL,
  combine = TRUE
)

Arguments

data	Data frame containing columns to summarize
name	String specifying name for summary score column
fork_vars	Character vector of columns used as logical conditions
fork_val	String indicating value in fork_vars for valid responses
vars	Character vector of columns to summarize
exclude	Character vector of values to exclude
events	Character vector of events to compute scores for
combine	Logical; if TRUE, append score to input data

Value

Data frame with count of missing values

Examples

data <- tibble::tribble(
  ~session_id, ~a, ~b, ~c, ~a__severe, ~b__severe, ~c__severe,
  "ses-00A", "1", "1", "1", "1", NA, NA,
  "ses-01A", "1", "1", "1", "2", "777", "2"
)

data |>
  ss_nm_mh_ple(
    name = "nm",
    fork_vars = c("a", "b", "c"),
    vars = paste0(c("a", "b", "c"), "__severe"),
    exclude = c("777", "999")
  )

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