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Lattice exercises – part 2

May 24, 2016
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Lattice exercises – part 2

In this set of exercises we will use lattice package. Firstly, we have to install this package with command install.packages("lattice") and then we will call it library(lattice) . Lattice package permits us to create univariate, bivariate and trivariate plots. For this set of exercises we will see trivariate plots. We will use a dataset example

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Lattice exercises – part 1

April 30, 2016
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Lattice exercises – part 1

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

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3D plotting exercises

April 6, 2016
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3D plotting exercises

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

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Graphics parameters exercises

March 24, 2016
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Graphics parameters exercises

In the exercises below we practice how to personalize graphics parameters, how to produce different plots at the same time and how to save a plot in a file. We will use commands such as par and jpeg. We will use the mtcars dataset, provided by R Cran (we can upload the dataset by typing

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Customize a scatterplot exercises

March 17, 2016
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Customize a scatterplot exercises

In the following exercises we practice how to customize a scatterplot. We will use axis , to add an axis; mtext to add a text; and legend to add a legend. Moreover we practice how to add details in every stage. We will use the mtcars dataset, provided by R Cran (we can upload dataset

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Start plotting data!

March 11, 2016
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Start plotting data!

In the exercises below we practice the basics of visualization in R. Firstly, we use the command: plot . Then we will see how to add information to our plot through command: lines . We will use the mtcars dataset, provided by R Cran (we can upload dataset by type mtcars and then attach our

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