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  • Book Overview & Buying R Graph Essentials
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R Graph Essentials

R Graph Essentials

4.5 (4)
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R Graph Essentials

R Graph Essentials

4.5 (4)
Buy this Book

Overview of this book

This book is targeted at R programmers who want to learn the graphing capabilities of R. This book will presume that you have working knowledge of R.
Table of Contents (6 chapters)
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Preface
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Preface
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What this book covers
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What you need for this book
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Who this book is for
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Conventions
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Reader feedback
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Customer support
Lock Free Chapter
1
1. Base Graphics in R – One Step at a Time
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1. Base Graphics in R – One Step at a Time
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Learning basic graphics techniques
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Creating and joining points
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Creating scatterplots and line plots
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Colors in R
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Passing parameter values to titles and labels
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Including a regression line
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Graphing mathematical functions
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R provides many options
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Creating graphs with several curves
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Customizing your axes
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Creating axis labels
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Creating multiple graphs on the same page
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Saving your graphs
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Including mathematical expressions on your plots
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Summary
2
2. Advanced Functions in Base Graphics
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2. Advanced Functions in Base Graphics
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Reading datasets into R
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Including a regression line and residuals
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A medical dataset to create graphs
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Creating complex multiple axes
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Including a grid on your graph
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Shading and coloring your graph
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Creating bar charts
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R's color palettes
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Using smoothers on your graph
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Creating scatterplot matrices
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Summary
3
3. Mastering the qplot Function
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3. Mastering the qplot Function
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About qplot
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The qplot syntax
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Producing scatterplots using qplot
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Subsetting your data before graphing
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Mapping aesthetics to categorical variables
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Controlling colors on your graph
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Setting up graphs as objects
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Creating facet plots
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Creating line graphs using qplot
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Creating multiple curves simultaneously
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Including smoothed curves
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Creating histograms with qplot
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Creating facet plots for histograms
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Creating kernel density plots
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Creating bar charts
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Creating boxplots
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Creating graphs with dates
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Summary
4
4. Creating Graphs with ggplot
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4. Creating Graphs with ggplot
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Getting started with ggplot
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Mapping color, shape, and size to a variable
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Creating attractive color schemes
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Creating curves for each factor level
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Creating histograms
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Creating bar charts
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Creating boxplots
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Labeling points with text
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Including regression lines
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Summary
5
Index
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Index

Getting started with ggplot

You may find that qplot is sufficient to create most of the graphics you want. However, you may need even more options than are provided within qplot, and ggplot may provide those options. Mastering ggplot is somewhat more difficult than qplot, but ggplot does provide more options to control plotting backgrounds, axes and axis labels, legends, grids, and color schemes.

In ggplot, we set up an initial graphing object and then add attributes in steps (which we call layers). Let's start by creating a scatterplot of patient height versus weight before treatment using the medical dataset, which you can copy and paste from the code file for this chapter (available in the code bundle of this book). First note the aes() function (aes is short for the word aesthetics) in which we identify the variables that we wish to include in our graph and in which we set up mappings for color, size, and shape. Also, note the geom_point() function that creates points. Thus, we...

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R Graph Essentials
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