c.e.norm_transform: Normality - Normality Transformation
In Vitlik/DA1-16: Analysis of a spambase dataset
Description
To get (back) to the overview of all steps and functions use this link: a.a.main
This function computes an examplary data transformation with the dimension "will" to check the possibility to normalize the dimensions with removed zero observations.
The results show that the normality of the distribution could be improved tremendously even it's still far from normal. The resulting p-value of the Shapiro-Wilk-Test could be increased from something like x*10^(-48) to x*10^(-8).
c.a.normality
Usage
1
2
## S3 method for class 'e.norm_transform'
c()
Author(s)
Vitali Friesen
Vitlik/DA1-16 documentation built on May 9, 2019, 10:01 p.m.
R Package Documentation
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description
To get (back) to the overview of all steps and functions use this link: a.a.main
This function computes an examplary data transformation with the dimension "will" to check the possibility to normalize the dimensions with removed zero observations.
The results show that the normality of the distribution could be improved tremendously even it's still far from normal. The resulting p-value of the Shapiro-Wilk-Test could be increased from something like x*10^(-48) to x*10^(-8).
c.a.normality
Usage
1 2 | ## S3 method for class 'e.norm_transform'
c()
|
Author(s)
Vitali Friesen
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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