vars_fc_p_vs__famil: Compute "Values Scale [Parent] (Familism): Mean - Baseline to Year 5"

Description

Computes the summary score fc_p_vs__famil_mean (Values Scale [Parent] (Familism): Mean - Baseline to Year 5)

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
- fc_p_vs__obl_001
- fc_p_vs__obl_002
- fc_p_vs__obl_003
- fc_p_vs__obl_004
- fc_p_vs__obl_005
Excluded values:
- 777
- 999
Validation criterion:
- maximally 3 of 16 items missing

Usage

vars_fc_p_vs__famil
compute_fc_p_vs__famil_mean(
  data,
  name = "fc_p_vs__famil_mean",
  max_na = 3,
  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 and fc_p_vs__famil_nm.

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: 3).
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.