discretize: A discretize Function
In mdapack: Medical Data Analysis Pack
Description
Usage
Arguments
Value
Author(s)
Examples
Description
'discretize' function performs a basic discretization using binning.
Usage
1
discretize(x, no.bin = 5)
Arguments
x
Data frame.
no.bin
Number of bin.
'FD' to use the Freedman-Diaconis rule for identifying number of bins.
The number of bin is 'max-min/2*IQR*n^-(1/3)'.
'ThreeStage' to discretize data into three stages.
1 if data is more than mu+sigma/2; 0=-1 if data is less than mu - sigma/2; otherwise 0.
Value
Return the discretized data
Author(s)
Saisakul Chernbumroong
Examples
1
2
data(iris)
iris.bin = discretize(iris, no.bin = 5)
mdapack documentation built on July 1, 2020, 10:30 p.m.
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Description Usage Arguments Value Author(s) Examples
Description
'discretize' function performs a basic discretization using binning.
Usage
1 | discretize(x, no.bin = 5)
|
Arguments
x |
Data frame. |
no.bin |
Number of bin. 'FD' to use the Freedman-Diaconis rule for identifying number of bins. The number of bin is 'max-min/2*IQR*n^-(1/3)'. 'ThreeStage' to discretize data into three stages. 1 if data is more than mu+sigma/2; 0=-1 if data is less than mu - sigma/2; otherwise 0. |
Value
Return the discretized data
Author(s)
Saisakul Chernbumroong
Examples
1 2 | data(iris)
iris.bin = discretize(iris, no.bin = 5)
|
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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