unifyR (version 1.0.0)

uniScore: uniScore

Description

A function for unifying a person's scores from multiple tests

Usage

uniScore(scores, M = NULL, SD = NULL, b = NULL, corm, method = "composite")

Value

z

A z score of the class `numeric` corresponding to the unified person's score; M = 0, SD = 1

IQ

An IQ score of the class `numeric` corresponding to the unified person's score; M = 100, SD = 15

T

A T score of the class `numeric` corresponding to the unified person's score; M = 50, SD = 10

SW

A SW score of the class `numeric` corresponding to the unified person's score; M = 100, SD = 10

C

A C score of the class `numeric` corresponding to the unified person's score; M = 5, SD = 2

PR

The percentile rank of the unified person's score of the class `numeric`

Arguments

scores

a vector with a person's score from multiple tests

M

Vector of means of the tests; must match the order of `scores`. Default: 0

SD

Vector of standard deviations of the tests; must match the order of `scores`. Default: 1

b

Vector of weightings for the test scores; must match the order of `scores`. Default: 1

corm

a matrix that contains the correlations between the tests. There must be ones on the diagonal.

method

the specification of the method for computing a unified score. "composite" (default) computes a non-latent unified score and "pca" computes the unified score on the principle component.

Examples

scores = c(110, 130, 120)
M = c(100, 100, 100)
SD = c(15, 15, 15)
b = c(1, 1, 1)
corm = matrix(c(1, 0.50, 0.35, 0.50, 1, 0.75, 0.35, 0.70, 1), nrow = 3, ncol = 3)
uniScore(scores, M, SD, b, corm, method = "composite")