Machine Learning with R Cookbook - Second Edition

How to do it...

Perform the following steps:

1. We begin exploring by visualizing the data with a boxplot:

        > boxplot(mtcars$mpg~factor(mtcars$gear),xlab='gear',ylab='mpg')

Comparison of mpg of different numbers of forward gears

2. To visualize how gear and mpg is related, a dot plot is created using the following steps:

        > library(ggplot2)         > ggplot(mtcars,aes(mtcars$mpg,mtcars$gear, color         =mtcars$gear))+geom_point()

Graph for mpg vs gears

3. Next, we conduct a one-way ANOVA to examine whether the mean of mpg changes with different numbers of ...