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

Source: R/scores_fc.R
compute_fc_y_vs__famil_mean.Rd

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

  • Summarized variables:

    • fc_y_vs__supp_001

    • fc_y_vs__supp_002

    • fc_y_vs__supp_003

    • fc_y_vs__supp_004

    • fc_y_vs__supp_005

    • fc_y_vs__supp_006

    • fc_y_vs__ref_001

    • fc_y_vs__ref_002

    • fc_y_vs__ref_003

    • fc_y_vs__ref_004

    • fc_y_vs__ref_005

    • fc_y_vs__obl_001

    • fc_y_vs__obl_002

    • fc_y_vs__obl_003

    • fc_y_vs__obl_004

    • fc_y_vs__obl_005

  • Excluded values:

    • 777

    • 999

  • Validation criterion:

    • maximally 3 of 16 items missing

Usage

vars_fc_y_vs__famil

compute_fc_y_vs__famil_mean(
  data,
  name = "fc_y_vs__famil_mean",
  max_na = 3,
  exclude = c("777", "999"),
  combine = TRUE
)

Format

a character vector of all column names used to compute summary score of fc_y_vs__famil_mean and fc_y_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.

Value

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