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Compute "Prodromal Psychosis Scale [Youth] (Severity Score): Mean"

Source: R/scores_mh.R
compute_mh_y_pps__severity_mean.Rd

Computes the summary score mh_y_pps__severity_mean Prodromal Psychosis Scale [Youth] (Severity Score): Mean

  • Summarized variables:

    • mh_y_pps_001

    • mh_y_pps_002

    • mh_y_pps_003

    • mh_y_pps_004

    • mh_y_pps_005

    • mh_y_pps_006

    • mh_y_pps_007

    • mh_y_pps_008

    • mh_y_pps_009

    • mh_y_pps_010

    • mh_y_pps_011

    • mh_y_pps_012

    • mh_y_pps_013

    • mh_y_pps_014

    • mh_y_pps_015

    • mh_y_pps_016

    • mh_y_pps_017

    • mh_y_pps_018

    • mh_y_pps_019

    • mh_y_pps_020

    • mh_y_pps_021

    • mh_y_pps__severity_001

    • mh_y_pps__severity_002

    • mh_y_pps__severity_003

    • mh_y_pps__severity_004

    • mh_y_pps__severity_005

    • mh_y_pps__severity_006

    • mh_y_pps__severity_007

    • mh_y_pps__severity_008

    • mh_y_pps__severity_009

    • mh_y_pps__severity_010

    • mh_y_pps__severity_011

    • mh_y_pps__severity_012

    • mh_y_pps__severity_013

    • mh_y_pps__severity_014

    • mh_y_pps__severity_015

    • mh_y_pps__severity_016

    • mh_y_pps__severity_017

    • mh_y_pps__severity_018

    • mh_y_pps__severity_019

    • mh_y_pps__severity_020

    • mh_y_pps__severity_021

  • Excluded values: none

  • Validation criterion: none of 21 items missing

Usage

compute_mh_y_pps__severity_mean(
  data,
  name = "mh_y_pps__severity_mean",
  max_na = 0,
  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.

max_na

integer, Maximum number of missing values allowed in the summary score.

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.

Details

The mean severity score is calculated by dividing the total severity score by the number of mh_y_pps__bother__yes_count. If any of the two values is missing, the mean severity score is set to NA.

See also

compute_mh_y_pps__bother__yes_count()

Examples

if (FALSE) { # \dontrun{
compute_mh_y_pps__severity_mean(data) |>
  select(
    any_of(c("mh_y_pps__severity_mean", vars_mh_y_pps__severity))
  )
} # }