ABCDscores (version 6.1.0)

vars_fc_p_vs__famil__v01: Compute "Values Scale [Parent] (Familism): Mean - Version 1 (Year 5 onwards)"

Description

Computes the summary score fc_p_vs__famil_mean__v01 (Values Scale [Parent] (Familism): Mean - Version 1 (Year 5 onwards))

• Summarized variables:

  • fc_p_vs__supp_001

  • fc_p_vs__supp_002

  • fc_p_vs__supp_003

  • fc_p_vs__supp_004

  • fc_p_vs__supp_005

  • fc_p_vs__supp_006

  • fc_p_vs__ref_001

  • fc_p_vs__ref_002

  • fc_p_vs__ref_003

  • fc_p_vs__ref_004

  • fc_p_vs__ref_005

• Excluded values:

  • 777

  • 999

• Validation criterion:

  • maximally 2 of 11 items missing

Usage

vars_fc_p_vs__famil__v01
compute_fc_p_vs__famil_mean__v01(
  data,
  name = "fc_p_vs__famil_mean__v01",
  max_na = 2,
  exclude = c("777", "999"),
  combine = TRUE
)

Value

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

Format

a character vector of all column names used to compute summary score of fc_p_vs__famil_mean__v01 and fc_p_vs__famil_nm__v01.

Arguments

data

tbl. Data frame containing the columns to be summarized.

name

character. Name of the summary score. Default is the name in the description.

max_na

numeric vector of positive whole number. Number of missing items allowed (Default: 2).

exclude

character vector. Values to be excluded from the summary score calculation.

combine

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

See Also

compute_fc_p_vs__famil_mean()