kurtosis
Kurtosis of the Sample
Description
Kurtosis is a measure of the "tailedness" of the probability distribution of a real-valued random variable. A normal distribution has a kurtosis of 3 and a excess kurtosis of 0.
Usage
kurtosis(x, na.rm = FALSE, excess = FALSE) ## Default S3 method: kurtosis(x, na.rm = FALSE, excess = FALSE) ## S3 method for class 'matrix' kurtosis(x, na.rm = FALSE, excess = FALSE) ## S3 method for class 'data.frame' kurtosis(x, na.rm = FALSE, excess = FALSE)
Arguments
x |
a vector of values, a matrix or a data.frame |
na.rm |
a logical to indicate whether |
excess |
a logical to indicate whether the excess kurtosis should be returned, defined as the kurtosis minus 3. |
Stable Lifecycle
The lifecycle of this function is stable. In a stable function, major changes are unlikely. This means that the unlying code will generally evolve by adding new arguments; removing arguments or changing the meaning of existing arguments will be avoided.
If the unlying code needs breaking changes, they will occur gradually. For example, a argument will be deprecated and first continue to work, but will emit an message informing you of the change. Next, typically after at least one newly released version on CRAN, the message will be transformed to an error.
Read more on Our Website!
On our website https://msberends.github.io/AMR/ you can find a comprehensive tutorial about how to conduct AMR data analysis, the complete documentation of all functions and an example analysis using WHONET data. As we would like to better understand the backgrounds and needs of our users, please participate in our survey!