utils {Rirt} | R Documentation |
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
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)
x1 |
a numeric vector or matrix |
x2 |
a numeric vector or matrix |
x |
a numeric or character vector |
vals |
valid 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 |
freq
returns the frequency counts and percentages in a data.frame
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)))