max_min_scale {KLexp} | R Documentation |
max_min_scale
Description
max_min_scale is used to calculate the standardization value of data.The formula is (x-min(x))/(max(x)-min(x)). It can compress the data into the (0,1).
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 max-min standardization of the dataset by the formula: (max(x)-x)/(max(x)-min(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<-max_min_scale(iris[,1])
print(w)
##For the data.frame data
w1<-max_min_scale(iris[,-5],dataframe=TRUE)
print(w1)
[Package KLexp version 1.0.0 Index]