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Compute "Difficulties in Emotion Regulation Scale [Parent] (Negative Secondary): Mean"

Source: R/scores_mh.R
compute_mh_p_ders__negscnd_mean.Rd

Computes the summary score mh_p_ders__negscnd_mean Difficulties in Emotion Regulation Scale [Parent] (Negative Secondary): Mean

  • Summarized variables:

    • mh_p_ders__negscnd_001

    • mh_p_ders__negscnd_002

    • mh_p_ders__negscnd_003

    • mh_p_ders__negscnd_004

    • mh_p_ders__negscnd_005

    • mh_p_ders__negscnd_006

    • mh_p_ders__negscnd_007

  • Excluded values:

    • 999

    • 777

  • Validation criterion: maximally 1 of 7 items missing

Usage

vars_mh_p_ders__negscnd

compute_mh_p_ders__negscnd_mean(
  data,
  name = "mh_p_ders__negscnd_mean",
  max_na = 1,
  exclude = c("999", "777"),
  combine = TRUE
)

Format

vars_mh_p_ders__negscnd is vector of all column names used to compute summary score of mh_p_ders__negscnd scores.

Arguments

data

tbl. Data frame containing the columns to be summarized.

name

character. Name of the summary score column.

max_na

numeric, positive whole number. Number of missing items allowed. NULL means no limit.

exclude

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

combine

logical. If TRUE (default), the summary score is is appended as a new column to the input data frame. If FALSE, the summary score is returned as a separate one-column data frame.

Value

tbl. see combine.

Examples

if (FALSE) { # \dontrun{
compute_mh_p_ders__negscnd_mean(data) |>
  select(
    any_of(c("mh_p_ders__negscnd_mean", vars_mh_p_ders__negscnd))
  )
} # }