PWM: Probability weighted moments
In TLMoments: Calculate TL-Moments and Convert Them to Distribution Parameters
PWM R Documentation
Probability weighted moments
Description
Calculates empirical probability weighted moments of specific order(s).
Usage
PWM(x, order = 0, na.rm = FALSE)
Arguments
x
numeric vector of data.
order
integer, order of probability weighted moment, can be a set of {0,1,...}.
na.rm
logical, indicates if NAs should be removed.
Value
numeric vector, empirical PWM of orders order of x.
See Also
PWMs
Examples
PWM(rnorm(25))
PWM(rnorm(25), order = 2)
PWM(rnorm(25), order = c(0, 2, 4))
TLMoments documentation built on March 27, 2022, 5:07 p.m.
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| PWM | R Documentation |
Probability weighted moments
Description
Calculates empirical probability weighted moments of specific order(s).
Usage
PWM(x, order = 0, na.rm = FALSE)
Arguments
x |
numeric vector of data. |
order |
integer, order of probability weighted moment, can be a set of {0,1,...}. |
na.rm |
logical, indicates if NAs should be removed. |
Value
numeric vector, empirical PWM of orders order of x.
See Also
PWMs
Examples
PWM(rnorm(25)) PWM(rnorm(25), order = 2) PWM(rnorm(25), order = c(0, 2, 4))
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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