Compute "Barkley Deficits in Executive Functioning Scale [Parent] (EF Summary Score): Sum"

Computes the summary score nc_p_bdefs_sum Barkley Deficits in Executive Functioning Scale [Parent] (EF Summary Score): Sum

• Summarized variables:

  • nc_p_bdefs_001

  • nc_p_bdefs_002

  • nc_p_bdefs_003

  • nc_p_bdefs_004

  • nc_p_bdefs_005

  • nc_p_bdefs_006

  • nc_p_bdefs_007

  • nc_p_bdefs_008

  • nc_p_bdefs_009

  • nc_p_bdefs_010

  • nc_p_bdefs_011

  • nc_p_bdefs_012

  • nc_p_bdefs_013

  • nc_p_bdefs_014

  • nc_p_bdefs_015

  • nc_p_bdefs_016

  • nc_p_bdefs_017

  • nc_p_bdefs_018

  • nc_p_bdefs_019

  • nc_p_bdefs_020

Usage

vars_nc_p_bdefs

compute_nc_p_bdefs_sum(
  data,
  name = "nc_p_bdefs_sum",
  max_na = 0,
  combine = TRUE
)

Format

vars_nc_p_bdefs is a character vector of all column names used to compute summary scores of nc_p_bdefs.

Arguments

data

tbl, Dataframe 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.

max_na

integer, Maximum number of missing values allowed in the summary score. NULL means no limit.

combine

logical, If TRUE, the summary score will be appended to the input data frame. If FALSE, the summary score will be returned as a separate data frame.

Value

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

Examples

if (FALSE) { # \dontrun{
compute_nc_p_bdefs_sum(data) |>
  select(
    data,
    all_of(c("nc_p_bdefs_sum", vars_nc_p_bdefs))
  )
} # }