fun.nclass.e: Estimates the number of classes or bins to smooth over in the...
In GLDEX: Fitting Single and Mixture of Generalised Lambda Distributions
fun.nclass.e R Documentation
Estimates the number of classes or bins to smooth over in the
discretised method of fitting generalised lambda distribution to data.
Description
Support function for discretised method of fitting distribution to data.
Usage
fun.nclass.e(x)
Arguments
x
Vector of data.
Details
This function calculates the mean and variance of the discretised data from 1
to the very last observation and chooses the best number
of categories that represent the mean and variance of the actual data set
through the criterion of squared deviations.
Value
A numerical value suggesting the best number of class that can be used to
represent the mean and variane of the original data set.
Note
This is not designed to be called directly by end user.
Author(s)
Steve Su
See Also
fun.disc.estimation
Examples
fun.nclass.e(rnorm(100,3,2))
GLDEX documentation built on Aug. 21, 2023, 9:08 a.m.
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| fun.nclass.e | R Documentation |
Estimates the number of classes or bins to smooth over in the discretised method of fitting generalised lambda distribution to data.
Description
Support function for discretised method of fitting distribution to data.
Usage
fun.nclass.e(x)
Arguments
x |
Vector of data. |
Details
This function calculates the mean and variance of the discretised data from 1 to the very last observation and chooses the best number of categories that represent the mean and variance of the actual data set through the criterion of squared deviations.
Value
A numerical value suggesting the best number of class that can be used to represent the mean and variane of the original data set.
Note
This is not designed to be called directly by end user.
Author(s)
Steve Su
See Also
fun.disc.estimation
Examples
fun.nclass.e(rnorm(100,3,2))
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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