kurtosis: Sample Kurtosis
Description
kurtosis
returns the sample kurtosis of a data vector/matrix
Usage
kurtosis(x, kurt.type = NULL, kurt.excess = FALSE, na.rm = FALSE)
Arguments
kurt.type
The type of kurtosis statistic used ('Moment', 'Fisher Pearson' or 'Adjusted Fisher Pearson')
kurt.excess
Logical value; if TRUE
the function gives the excess kurtosis (instead of raw kurtosis)
na.rm
Logical value; if TRUE
the function removes NA
values
Value
The sample kurtosis of the data vector/matrix
Details
This function computes the sample kurtosis for a data vector or matrix. For a vector input the function returns a single value for the
sample kurtosis of the data. For a matrix input the function treats each column as a data vector and returns a vector of values for the
sample kurtosis of each of these datasets. The function can compute different types of kurtosis statistics using the kurt.type
input.
Examples
Run this code# NOT RUN {
kurtosis(rnorm(1000))
kurtosis(rexp(1000))
# }
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