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Compute "Early Adolescent Temperament Questionnaire [Parent] (Surgency): Mean [Validation: No more than 1 missing or declined]"

Source: R/scores_mh.R
compute_mh_p_eatq__surg_mean.Rd

Computes the summary score mh_p_eatq__surg_mean Early Adolescent Temperament Questionnaire [Parent] (Surgency): Mean [Validation: No more than 1 missing or declined]

  • Summarized variables:

    • mh_p_eatq__surg_001

    • mh_p_eatq__surg_002

    • mh_p_eatq__surg_003

    • mh_p_eatq__surg_004

    • mh_p_eatq__surg_005

    • mh_p_eatq__surg_006

    • mh_p_eatq__surg_007

    • mh_p_eatq__surg_008

    • mh_p_eatq__surg_009

Usage

vars_mh_p_eatq__surg

compute_mh_p_eatq__surg_mean(
  data,
  name = "mh_p_eatq__surg_mean",
  max_na = 1,
  combine = TRUE,
  revert = FALSE
)

Format

vars_mh_p_eatq__surg is a character vector of all column names used to compute summary score of mh_p_eatq__surg_mean.

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.

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.

revert

logical, If TRUE, the summary score will be reverse scored.

Value

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

Examples

if (FALSE) { # \dontrun{
data <- compute_mh_p_eatq__surg_mean(data)
select(
  data,
  any_of(c("mh_p_eatq__surg_mean", vars_mh_p_eatq__surg))
)
} # }