In this set of exercises we will introduce the concept of 3D plotting. Specifically, we will use these commands:`image()`

, `contour()`

and `persp()`

.

For these exercises, you need to have a basic understanding of R objects and functions, in particular some knowledge about ` matrix `

.

This set is the fourth set of exercises is a series on data visualization. Click here for the other sets in the series. Answers to the exercises are available here.

If you obtained a different (correct) answer than those listed on the solutions page, please feel free to post your answer as a comment on that page.

**Exercise 1**

Construct a matrix of 10 rows by 10 columns filled with random numbers between 0 and 1, uniformly distributed. Plot it using the ` image() `

function.

**Exercise 2**

Costumize the plot by changing from colours to grayscale and equally space the squares.

**Exercise 3**

Construct a matrix of 5 rows by 5 columns with random numbers as in exercise 1, and create a contour plot.

**Exercise 4**

To create a 3d plot with the `persp`

function, we need 3 variables (x,y,z) where z is a matrix that contains values to be plotted. Try to replicate this plot (hint: the relation between x,y and z is defined by: z <- (x+y)/2:

**Exercise 5**

Now let’s customize our 3d plot, modifying some details such as background colour and values colours. Then change the way to define x and y variables. The final result it should be like this:

**Exercise 6**

Let’s take our last 3d plot and add some details as labels and plot orientation (hint: phi value). Final result should be like this:

**Exercise 7**

For the final exercise we have to reproduce the 3d plot below using what we have learned in the previous exercises:

Duncan Williamson says

You forgot to tell us that we need to require(graphics) to start this session.

Once I did that everything went perfectly!

I have just worked through the four exercise sets in this series and I liked them!