utils: Utility functions

In Rirt: Data Analysis and Parameter Estimation Using Item Response Theory

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)))

Rirt documentation built on Oct. 30, 2019, 12:13 p.m.