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Compute "Prodromal Psychosis Scale [Youth] (Bother "Yes" responses): Count"

Source: R/scores_mh.R
compute_mh_y_pps__bother__yes_count.Rd

Computes the summary score mh_y_pps__bother__yes_count Prodromal Psychosis Scale [Youth] (Bother

  • Summarized variables:

    • mh_y_pps__bother_001

    • mh_y_pps__bother_002

    • mh_y_pps__bother_003

    • mh_y_pps__bother_004

    • mh_y_pps__bother_005

    • mh_y_pps__bother_006

    • mh_y_pps__bother_007

    • mh_y_pps__bother_008

    • mh_y_pps__bother_009

    • mh_y_pps__bother_010

    • mh_y_pps__bother_011

    • mh_y_pps__bother_012

    • mh_y_pps__bother_013

    • mh_y_pps__bother_014

    • mh_y_pps__bother_015

    • mh_y_pps__bother_016

    • mh_y_pps__bother_017

    • mh_y_pps__bother_018

    • mh_y_pps__bother_019

    • mh_y_pps__bother_020

    • mh_y_pps__bother_021

Usage

compute_mh_y_pps__bother__yes_count(
  data,
  name = "mh_y_pps__bother__yes_count",
  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 bother count is depend on the mh_y_pps__bother_nm score. If the mh_y_pps__bother_nm score is greater than max_na, the bother count is set to NA.

There is also a sanity check for the gating question in PPS bother score. If the paired gating question is 0 or NA and the bother score is not missing, the paired bother score is set to NA before computing the count.

See also

compute_mh_y_pps__bother_nm()

Examples

if (FALSE) { # \dontrun{
compute_mh_y_pps__bother__yes_count(data) |>
  select(
    any_of(c("mh_y_pps__bother__yes_count", vars_mh_y_pps__bother))
  )
} # }