nclass.wand: Number of cells in a histogram
In siggenes: Multiple Testing using SAM and Efron's Empirical Bayes Approaches
Description
Usage
Arguments
Details
Value
References
See Also
Description
Computes the number of cells in a histogram using the method of Wand (1994).
Usage
1
nclass.wand(x, level = 1)
Arguments
x
numeric vector of observations.
level
integer specifying the number of levels of functional estimation used in
the estimation. For details, see the help page of dpih from the package
KernSmooth.
Details
nclass.wand calls dpih, and then computes the number of cells
corresponding to the optimal bin width returned by dpih.
Value
A numeric value specifying the number of cells for the histogram of x.
References
Wand, M.P. (1997). Data-based choice of histogram bin width.
American Statistician, 51, 59–64.
See Also
siggenes documentation built on Nov. 8, 2020, 6:26 p.m.
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Description Usage Arguments Details Value References See Also
Description
Computes the number of cells in a histogram using the method of Wand (1994).
Usage
1 | nclass.wand(x, level = 1)
|
Arguments
x |
numeric vector of observations. |
level |
integer specifying the number of levels of functional estimation used in
the estimation. For details, see the help page of |
Details
nclass.wand calls dpih, and then computes the number of cells
corresponding to the optimal bin width returned by dpih.
Value
A numeric value specifying the number of cells for the histogram of x.
References
Wand, M.P. (1997). Data-based choice of histogram bin width. American Statistician, 51, 59–64.
See Also
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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