ScalarKurt: ScalarKurt
In Kurt: Performs Kurtosis-Based Statistical Analyses

Description Usage Arguments Details Value Author(s) Examples

View source: R/ScalarKurt.R

Returns the statistic and the p-value of either Mardia's kurtosis or Koziol's kurtosis tests for normality .

1	ScalarKurt(data, feature, type, prob)

`data`	data matrix
`feature`	"moment" or "cumulant"
`type`	"Mardia" or "Koziol"
`prob`	"lower" if probability is P[X <= x], "upper" if probability is P[X > x], "twoside" if probability is computed on both tails

For Koziol kurtosis only the upper tail is meaningful

`statistic`
`pvalue`

Cinzia Franceschini and Nicola Loperfido

data(iris)
iris<-data.matrix(iris)#returns the matrix obtained by converting the data frame to numeric mode
ScalarKurt(iris[,1:4],"moment","Mardia","upper")#returns the statistic and the p-value
#of Mardia's kurtosis test for normality