Compute "Early Adolescent Temperament Questionnaire [Parent] (Super scale - Surgency: Combines surgency, fear (reverse coded), and shyness (reverse coded) scales): Number missing"

Computes the summary score mh_p_eatq__ss__surg_nm Early Adolescent Temperament Questionnaire [Parent] (Super scale - Surgency: Combines surgency, fear (reverse coded), and shyness (reverse coded) scales): Number missing

• 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

  • mh_p_eatq__fear_001

  • mh_p_eatq__fear_002

  • mh_p_eatq__fear_003

  • mh_p_eatq__fear_004

  • mh_p_eatq__fear_005

  • mh_p_eatq__fear_006

  • mh_p_eatq__shy_001

  • mh_p_eatq__shy_002

  • mh_p_eatq__shy_003

  • mh_p_eatq__shy_004

  • mh_p_eatq__shy_005

Usage

compute_mh_p_eatq__ss__surg_nm(
  data,
  name = "mh_p_eatq__ss__surg_nm",
  combine = TRUE
)

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.

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.

Value

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

See also

compute_mh_p_eatq__ss__surg_mean()

Examples

if (FALSE) { # \dontrun{
data <- compute_mh_p_eatq__ss__surg_nm(data)
} # }