Browse Library
Sign In Start Free Trial
Close icon Search icon
Account
Browse Library Sign In Start Free Trial

Add to playlist

Create a Playlist

Modal Close icon
You need to login to use this feature.
  • Book Overview & Buying R Graph Essentials
  • Table Of Contents Toc
R Graph Essentials

R Graph Essentials

4.5 (4)
Buy this Book
close
close
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)
close
close
close
Preface
Icon
Preface
Icon
What this book covers
Icon
What you need for this book
Icon
Who this book is for
Icon
Conventions
Icon
Reader feedback
Icon
Customer support
Lock Free Chapter
1
1. Base Graphics in R – One Step at a Time
Icon
1. Base Graphics in R – One Step at a Time
Icon
Learning basic graphics techniques
Icon
Creating and joining points
Icon
Creating scatterplots and line plots
Icon
Colors in R
Icon
Passing parameter values to titles and labels
Icon
Including a regression line
Icon
Graphing mathematical functions
Icon
R provides many options
Icon
Creating graphs with several curves
Icon
Customizing your axes
Icon
Creating axis labels
Icon
Creating multiple graphs on the same page
Icon
Saving your graphs
Icon
Including mathematical expressions on your plots
Icon
Summary
2
2. Advanced Functions in Base Graphics
chevron up
Icon
2. Advanced Functions in Base Graphics
Icon
Reading datasets into R
Icon
Including a regression line and residuals
Icon
A medical dataset to create graphs
Icon
Creating complex multiple axes
Icon
Including a grid on your graph
Icon
Shading and coloring your graph
Icon
Creating bar charts
Icon
R's color palettes
Icon
Using smoothers on your graph
Icon
Creating scatterplot matrices
Icon
Summary
3
3. Mastering the qplot Function
Icon
3. Mastering the qplot Function
Icon
About qplot
Icon
The qplot syntax
Icon
Producing scatterplots using qplot
Icon
Subsetting your data before graphing
Icon
Mapping aesthetics to categorical variables
Icon
Controlling colors on your graph
Icon
Setting up graphs as objects
Icon
Creating facet plots
Icon
Creating line graphs using qplot
Icon
Creating multiple curves simultaneously
Icon
Including smoothed curves
Icon
Creating histograms with qplot
Icon
Creating facet plots for histograms
Icon
Creating kernel density plots
Icon
Creating bar charts
Icon
Creating boxplots
Icon
Creating graphs with dates
Icon
Summary
4
4. Creating Graphs with ggplot
Icon
4. Creating Graphs with ggplot
Icon
Getting started with ggplot
Icon
Mapping color, shape, and size to a variable
Icon
Creating attractive color schemes
Icon
Creating curves for each factor level
Icon
Creating histograms
Icon
Creating bar charts
Icon
Creating boxplots
Icon
Labeling points with text
Icon
Including regression lines
Icon
Summary
5
Index
Icon
Index

A medical dataset to create graphs

For many of the examples in this book, we will use the following dataset. It gives medical data on 45 people: their names; their gender (a two-level categorical variable); their ethnicity (a four-level categorical variable, labeled 1, 2, and 3); the medical treatment they received (a three-level categorical variable with levels A, B, or C); their age band (a three-level categorical variable with levels Y, M, and E, standing for young, middle-aged, and elderly); their weight (body mass) before treatment (in kg) and weight (body mass) after treatment (in kg), their heights (in cm); whether they smoke (a two-level categorical variable with levels Y and N); whether they perform regular exercise (a two-level categorical variable with levels TRUE and FALSE); and finally, whether or not they recovered after treatment (a two-level categorical variable with levels 1 and 0). We read this dataset as an object called T. The syntax to read this dataset is given in the...

CONTINUE READING
83
Tech Concepts
36
Programming languages
73
Tech Tools
Icon Unlimited access to the largest independent learning library in tech of over 8,000 expert-authored tech books and videos.
Icon Innovative learning tools, including AI book assistants, code context explainers, and text-to-speech.
Icon 50+ new titles added per month and exclusive early access to books as they are being written.
R Graph Essentials
End of Section 2
Next Section
notes
bookmark Notes and Bookmarks search Search in title playlist Add to playlist font-size Font size

Change the font size

margin-width Margin width

Change margin width

day-mode Day/Sepia/Night Modes

Change background colour

Close icon Search
Country selected
Close icon Your notes and bookmarks

Confirmation

Modal Close icon
claim successful
Order Page Read Now

Buy this book with your credits?

Modal Close icon
Are you sure you want to buy this book with one of your credits?
Close
YES, BUY

Submit Your Feedback

Modal Close icon
Modal Close icon
Modal Close icon