Z_score {KLexp} | R Documentation |
Z_score standardization
Description
Z-score method is used to calculate the standardization value of data.The formula is (x-mean(x))/var(x). It can compress the data into the (0,1).
Usage
Z_score(data, dataframe = FALSE)
Arguments
data |
Your input data, which can be numerci or data.frame |
dataframe |
Wether the data is dataframe. The default is False(numeric) |
Value
Calculate the Z_score standardization of the dataset by the formula: (x-mean(x))/var(x)
Author(s)
Zongrui Dai
Source
https://github.com/Zongrui-Dai/Kernel-lasso-feature-expansion
Examples
##For the numeric data
data(iris,package = 'datasets')
w<-Z_score(iris[,1])
print(w)
##For the data.frame data
w1<-Z_score(iris[,-5],dataframe=TRUE)
print(w1)
[Package KLexp version 1.0.0 Index]