# Lattice exercises – part 1

**R-exercises**, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)

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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**

Return to the main dataset and then create a densityplot of goals received, grouping by team.

**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.

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