Question

Hello i am new to R,

I am doing coursera course for machine learning, I know training and cross validation on datasets for purpose of prediction in octave but how can i do that operations in R?

Answer 1

Linear regression:

> model <- lm(y ~ ., data = mydata)
> predict(model, mydata[1, ])

Cross validation for LM:

> install.packages("DAAG")   # if not already installed 
> library(DAAG)
> cv.lm(df = mydata, form.lm = formula(y ~ .))

Linear model (function lm()) is available by default in R, but other machine learning algorithms are not. For a set of the most popular ML algorithms see package e1071.