Compute "Barkley Deficits in Executive Functioning Scale [Parent] (EF Symptom Count, number of answers of 3 or 4): Count"

Computes the summary score nc_p_bdefs__sympt_count Barkley Deficits in Executive Functioning Scale [Parent] (EF Symptom Count, number of answers of 3 or 4): Count

• 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

compute_nc_p_bdefs__sympt_count(
  data,
  name = "nc_p_bdefs__sympt_count",
  max_na = 0,
  combine = TRUE
)

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.

See also

compute_nc_p_bdefs_sum()

Examples

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