Performs the Mardia's test to check for multivariate normality
The dataset containing the features for which multivariate normality is going to be tested. The last column contains the class. In case of unsupervised data add a dummy colummn of ones. In case of regression data, transform the response column in a column of ones
Returns the p-values for the corresponding third and fourth moments of the multivariate normal distribution.
Mardia, K.V. (1985). "Mardia's Test of Multinormality," in S. Kotz and N.L. Johnson, eds., Encyclopedia of Statistical Sciences, vol. 5 (NY: Wiley), pp. 217-221.
1 2 3
Warning messages: 1: In rgl.init(initValue, onlyNULL) : RGL: unable to open X11 display 2: 'rgl_init' failed, running with rgl.useNULL = TRUE 3: .onUnload failed in unloadNamespace() for 'rgl', details: call: fun(...) error: object 'rgl_quit' not found  3 Mardia's test for class 1 mard1= 24.15508 pvalue for m3= 0.2356838 mard2= 0.7587116 p-value for m4= 0.4480251 There is statistical evidence for normality Mardia's test for class 2 mard1= 23.70393 pvalue for m3= 0.2555643 mard2= -1.034219 p-value for m4= 0.3010336 There is statistical evidence for normality Mardia's test for class 3 mard1= 24.72568 pvalue for m3= 0.2121282 mard2= -0.3384283 p-value for m4= 0.7350404 There is statistical evidence for normality
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