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))
# NOT RUN {##For the numeric datadata(iris,package = 'datasets')
w<-max_min_scale(iris[,1])
print(w)
##For the data.frame dataw1<-max_min_scale(iris[,-5],dataframe=TRUE)
print(w1)
# }