standardize: Data standardization
In ghouljd/apnnClassifier: Multiclass classifier based on neural networks.
Description
Usage
Arguments
Value
Examples
Description
Data standardization
Usage
1
standardize(set, type = "punctual")
Arguments
set
Data set. (Required)
type
standardization type (Not required. Default value: "punctual". Valid values: "punctual" - "scale")
Value
standardized set.
Examples
1
2
3
4
5
6
7
library(apnnClassifier)
data(testData)
Basic usage
testData <- standardize(testData)
For classification by minimum and maximum
testData <- standardize(testData, type = "scale")
View(testData)
ghouljd/apnnClassifier documentation built on June 29, 2019, 11:38 p.m.
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Description Usage Arguments Value Examples
Description
Data standardization
Usage
1 | standardize(set, type = "punctual")
|
Arguments
set |
Data set. (Required) |
type |
standardization type (Not required. Default value: "punctual". Valid values: "punctual" - "scale") |
Value
standardized set.
Examples
1 2 3 4 5 6 7 | library(apnnClassifier)
data(testData)
Basic usage
testData <- standardize(testData)
For classification by minimum and maximum
testData <- standardize(testData, type = "scale")
View(testData)
|
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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