Standardized neuropsychological test scores

An S7 class representing the result of standardizing an npsych_scores vector via std(), std_using_norms(), or std_using_regression(). Inherits from S7::class_double, so it behaves as a numeric vector while carrying standardization metadata as S7 properties.

Usage

std_npsych_scores(
  .data = numeric(0),
  scores_subclass = character(0),
  description = character(0),
  method = character(0),
  version = character(0)
)

Arguments

.data

A numeric vector of standardized (z-score) values.

scores_subclass

A string naming the originating npsych_scores subclass (e.g., "MOCATOTS"), or NULL.

description

A non-empty string summarizing the standardization applied, including the method, version, and covariates.

method

A non-empty string indicating the standardization method (e.g., "norms", "regression").

version

A string identifying the version used (e.g., "nacc", "updated_2025.06"), or NULL.

Value

An S7 object of class std_npsych_scores, which behaves as a numeric vector with additional properties: scores_subclass, description, method, and version.

Properties

scores_subclass

(character(1) or NULL) The name of the originating npsych_scores subclass (e.g., "MOCATOTS").

description

(character(1)) A human-readable summary of the standardization applied, including the method, version, and covariates.

method

(character(1)) The standardization method used (e.g., "norms", "regression").

version

(character(1) or NULL) The version identifier (e.g., "nacc", "updated_2025.06").

See also

std(), std_using_norms(), std_using_regression(), std_data()