utils {Rirt}

Utility functions

Description

rmse computes the root mean squared error (RMSE) of two numeric vectors/matrices

freq computes the frequency counts of a numeric or character vector

cronbach_alpha computes the Cronbach's alpha internal consistency reliability index

spearman_brown predicts the reliability when the current test is extended to n times longer

spearman_brown_reverse computes how many times the current test length needs to be extended in order to reach targeted reliability

quadratic kappa computes the quadratic weighted kappa of two numeric vectors

Usage

rmse(x1, x2)

freq(x, vals = NULL, decimal = NULL)

cronbach_alpha(u)

spearman_brown(rho, n_len)

spearman_brown_reverse(rho, target_rho)

quadratic_kappa(x1, x2)

Arguments

x1

a numeric vector or matrix

x2

a numeric vector or matrix

x

a numeric or character vector

vals

valid values, NULL to include all values

decimal

round results to n-th decimal places

u

oberved responses, 2d matrix

rho

the reliability of the current test

n_len

extend the test to n times longer

target_rho

the targeted reliability

Value

freq returns the frequency counts and percentages in a data.frame

Examples

rmse(rnorm(10), rnorm(10))
freq(round(runif(100, 1, 5)))
cronbach_alpha(model_3pl_gendata(1000, 20)$u)
spearman_brown(.70, 2)
spearman_brown_reverse(.70, .85)
quadratic_kappa(round(runif(100, 1, 5)), round(runif(100, 1, 5)))