Tackling Machine Learning with R

Statistical Analysis with R Essentials For Dummies

Machine Learning (ML) is a popular area. R provides a number of ML-related packages and functions. Here are some of them:

Machine Learning Packages and Functions

Package	Function	What it does
`rattle`	`rattle()`	Opens the Rattle Graphic User Interface
`rpart`	`rpart()`	Creates a decision tree
`rpart.plot`	`prp()`	Draws a decision tree
`randomForest`	`randomForest()`	Creates a random forest of decision trees
`rattle`	`printRandomForests()`	Prints the rules of a forest’s individual decision trees
`e1071`	`svm()`	Trains a support vector machine
`e1071`	`predict()`	Creates a vector of predicted classifications based on a support vector machine
`kernlab`	`ksvm()`	Trains a support vector machine
`base R`	`kmeans()`	Creates a k-means clustering analysis
`nnet`	`nnet()`	Creates a neural network with one hidden layer
`NeuralNetTools`	`plotnet()`	Draws a neural network
`nnet`	`predict()`	Creates a vector of predictions based on a neural network

About This Article

About the book author:

Joseph Schmuller, PhD, is a cognitive scientist and statistical analyst. He creates online learning tools and writes books on the technology of data science. His books include R All-in-One For Dummies and R Projects For Dummies.