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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
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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

Including a regression line and residuals

In the Creating scatterplots and line plots section in Chapter 1, Base Graphics in R – One Step at a Time, we saw how to use the abline() command and the lm() command to include a regression line in your graph. Now, we will take this idea a little further. The following regression uses a datafile in which a sample of 10 people rated a film by awarding scores out of 100. These people then viewed the film a second time 1 month later and again awarded scores. We wish to use a regression model to see how well the first rating scores predicted the second rating.

In an OLS regression with one predictor, we fit a model of the following form:

Yi  =  β0  +  β1 Xi  + ei

In this form, β0 is the intercept, β1 is the slope, and e i are the errors (or residuals).

Let's perform the regression on the data and plot the results. Along the way, we will learn some useful R syntax. Go to the code file of this chapter, and copy and paste the following syntax into R. It contains...

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R Graph Essentials
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