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Performs the test of multivariate normality of Szekely and Rizzo (2005). Note that the scaled residuals use another scaling in the estimator of the covariance matrix!
test.SR(data, MC.rep = 10000, alpha = 0.05, abb = 1e-08)
a n x d matrix of d dimensional data vectors.
number of repetitions for the Monte Carlo simulation of the critical value
level of significance of the test
Stop criterium.
a list containing the value of the test statistic, the approximated critical value and a test decision on the significance level alpha:
alpha
$Test
name of the test.
$Test.value
the value of the test statistic.
$cv
the approximated critical value.
$Decision
the comparison of the critical value and the value of the test statistic.
Szekely, G., Rizzo, M. (2005), A new test for multivariate normality, J. Multiv. Anal., 93:58-80, DOI
SR
# NOT RUN { test.SR(MASS::mvrnorm(50,c(0,1),diag(1,2)),MC.rep=500) # }
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