scaleData: Scale Function

In mariytu/RegressionLibs: What the package does (short line)

Description

Function to scale the data set. If you use normalize function first and then scaleData function you could obtain a normalize dataset in a range [x,y]

Usage

scaleData(dataSet, min, max)

Arguments

dataSet	an object of class data frame with the original data set.
min	an integer with the min value that you want scale the data set.
max	an integer with the max value that you want scale the data set.

Value

an object of class data frame with a modified data set scaled in the defined range.

See Also

normalize, normalizeData

Examples

#Example 1
iris.x <- iris[,1:4] #Just numerical columns witout missing values

normed <- as.data.frame(lapply(iris.x, normalize))
normedIris <- as.data.frame(lapply(normed, scaleData, 1, 10)) #In range [1,10]


#Example 2
# Getting a data set without missing values
cars <- read.csv("https://dl.dropboxusercontent.com/u/12599702/autosclean.csv", sep = ";", dec = ",")

normed <- as.data.frame(lapply(cars, normalize))
normedCars <- as.data.frame(lapply(normed, scaleData, 1, 10)) #In range [1,10]

mariytu/RegressionLibs documentation built on May 21, 2019, 11:47 a.m.