# Lattice exercises – part 1

(This article was first published on R-exercises , and kindly contributed toR-bloggers)

In the exercises below we will use the lattice package. First, we have to install this package with `install.packages("lattice")` and then we will call it `library(lattice)` . The Lattice package permits us to create univariate, bivariate and trivariate plots. For this set of exercises we will see univariate and bivariate plots. We will use a dataset example that we have to download from here .

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

Create a barchart of goals done (Variable `gd` , grouping by team.

Exercise 2

Now let’s create two datesets (subset dataset by team) and then use the `bwplot` function to plot goals received (Var: gs).

Exercise 3

Exercise 4

Create a histogram of win matches (Var: `Win` ), grouping by team.

Exercise 5

Now we introduce the xyplot command. In this exercises you have to create a plot of goals received against goals done and play at home (variable `home` ), grouping by team.

Exercise 6

From the previous issue we will plot in this exercises a time-series xyplot. Again use goals done variable by team (hint:you have to do two different plots).

Exercise 7

Return to exercise 5 and create a time-series xyplot, grouping by team for goals received variable. Customize your plot with the `cut` option.

Exercise 8

Finally, produce a quantile-quantile (qqplot) plot of win matches against goals received and injuries (variable `inj` ), grouping by team.