ABCDscores (version 6.1.0)

vars_ph_p_cna: Compute "Child Nutrition Assessment [Parent]: Sum [Validation: No more than 0 missing or declined]"

Description

Computes the summary score ph_p_cna_sum Child Nutrition Assessment [Parent]: Sum [Validation: No more than 0 missing or declined]

• Summarized variables:

  • ph_p_cna_001

  • ph_p_cna_002

  • ph_p_cna_003

  • ph_p_cna_004

  • ph_p_cna_005

  • ph_p_cna_006

  • ph_p_cna_007

  • ph_p_cna_008

  • ph_p_cna_009

  • ph_p_cna_010

  • ph_p_cna_011

  • ph_p_cna_012

  • ph_p_cna_013

  • ph_p_cna_014

• Excluded values:

  • 999

  • 777

• Validation criterion: maximally 0 of 14 items missing

Usage

vars_ph_p_cna
compute_ph_p_cna_sum(
  data,
  name = "ph_p_cna_sum",
  max_na = 0,
  exclude = c("777", "999"),
  combine = TRUE
)

Value

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

Format

vars_ph_p_cna is a character vector of all column names used to compute summary scores of ph_p_cna.

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.

exclude

character, Values to be excluded from the summary score.

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.

Examples

if (FALSE) {
compute_ph_p_cna_sum(data) |>
  select(
    all_of(c("ph_p_cna_sum", vars_ph_p_cna))
  )
}