In jr-packages/jrBig: Jumping Rivers: R for Big Data

Exercise 1

1. Check that you have the bigvis package installed. r ## Should run error free library("bigvis") data("movies", package = "bigvis")

2. Use condense and bin to plot the movie lengths. Try varying the width argument in the bin function.

3. Add a smoothed line using the smooth function.
4. Load the ggplot2 package r library("ggplot2") Use autoplot on the binned data. Experiment with peel.

x = condense(bin(movies$length, width = 1))
plot(x)
sm = smooth(x, h = 5 / 100)
lines(sm[, 1], sm[, 2], col = 2)
autoplot(x)
last_plot() %+% peel(x)

Exercise 2

1. Check that you have the tabplot package installed. r ## Should run with no errors library("tabplot")

2. Reproduce the plot in the notes r tableplot(movies[, 3:5]) Use head(movies[,3:5]) to examine the first few rows of the data. What do the plots mean?

3. Add the argument sortCol=3 to the above tableplot command. What does this argument do?

4. Run the following command

   r tableplot(movies[, 3:10]) What do the graphs mean?

---

Did you know that we also run on-site courses?

jr-packages/jrBig documentation built on Jan. 1, 2020, 2:02 p.m.