Skewness and kurtosis coefficients {Rfast} | R Documentation |
Skewness and kurtosis coefficients
Description
Skewness and kurtosis coefficients.
Usage
skew(x, pvalue = FALSE)
kurt(x, pvalue = FALSE)
Arguments
x |
A numerical vector with data. |
pvalue |
If you want a hypothesis test that the skewness or kurtosis are significant set this to TRUE. This checks whether the skewness is significantly different from 0 and whether the kurtosis is significantly different from 3. |
Details
The sample skewness and kurtosis coefficient are calculated. For the kurtosis we do not subtract 3.
Value
If "pvalue" is FALSE (default value) the skewness or kurtosis coefficients are returned. Otherwise, the p-value of the significance of the coefficient is returned.
Author(s)
Klio Lakiotaki
R implementation and documentation: Klio Lakiotaki <kliolak@gmail.com>.
References
https://en.wikipedia.org/wiki/Skewness
https://en.wikipedia.org/wiki/Kurtosis
See Also
colskewness, skew.test2, colmeans, colVars, colMedians
Examples
x <- rgamma(500,1, 4)
res<-skew(x)
res<-kurt(x, TRUE)