Compute Regression z-scores — compute_z

Computes z-scores for a given test index using regression parameters from a normative calculator, along with the patient's raw score and demographic information (age, gender, education).

Usage

compute_z_score(calc, x, lbl, AGE, GEN, EDU)

Arguments

calc: A data frame or tibble containing regression parameters from the calculator.
x: A numeric vector of raw performance scores.
lbl: A character string specifying the test index label (must match an entry in calc).
AGE: A numeric vector indicating the participant's age (in years).
GEN: A numeric vector indicating gender (1 = man, 0 = woman).
EDU: A numeric vector indicating years of education.

Value

A numeric vector of computed z-scores, one for each raw score in x.

Examples

if (FALSE) { # \dontrun{
# Example usage:
z <- compute_z_score(
  calc = regression_table,
  x = c(35, 42, 28),
  lbl = "Digit Span Backward",
  AGE = c(67, 70, 74),
  GEN = c(1, 0, 1),
  EDU = c(15, 12, 16)
)
} # }