Book Image

R Graph Essentials

Book Image

R Graph Essentials

Overview of this book

Related Content you might be interested in

Current Title:

Small book image
R Graph Essentials
Sep, 2014 | 190 pages
No titles found
Table of Contents (11 chapters)
R Graph Essentials
R Graph Essentials
Credits
Credits
About the Author
About the Author
About the Reviewers
About the Reviewers
www.PacktPub.com
www.PacktPub.com
Preface
Preface
Free Chapter
1
Base Graphics in R – One Step at a Time
Base Graphics in R – One Step at a Time
Learning basic graphics techniques
Creating and joining points
Creating scatterplots and line plots
Colors in R
Passing parameter values to titles and labels
Including a regression line
Graphing mathematical functions
R provides many options
Creating graphs with several curves
Customizing your axes
Creating axis labels
Creating multiple graphs on the same page
Saving your graphs
Including mathematical expressions on your plots
Summary
2
Advanced Functions in Base Graphics
Advanced Functions in Base Graphics
Reading datasets into R
Including a regression line and residuals
A medical dataset to create graphs
Creating complex multiple axes
Including a grid on your graph
Shading and coloring your graph
Creating bar charts
R's color palettes
Using smoothers on your graph
Creating scatterplot matrices
Summary
3
Mastering the qplot Function
Mastering the qplot Function
About qplot
The qplot syntax
Producing scatterplots using qplot
Subsetting your data before graphing
Mapping aesthetics to categorical variables
Controlling colors on your graph
Setting up graphs as objects
Creating facet plots
Creating line graphs using qplot
Creating multiple curves simultaneously
Including smoothed curves
Creating histograms with qplot
Creating facet plots for histograms
Creating kernel density plots
Creating bar charts
Creating boxplots
Creating graphs with dates
Summary
4
Creating Graphs with ggplot
Creating Graphs with ggplot
Getting started with ggplot
Mapping color, shape, and size to a variable
Creating attractive color schemes
Creating curves for each factor level
Creating histograms
Creating bar charts
Creating boxplots
Labeling points with text
Including regression lines
Summary
Index
Index

R's color palettes

R's color palettes include the following: Rainbow, heat.colors, terrain.colors, topo.colors, and cm.colors.

You have already seen some of these palettes. For information on palettes in R, insert a question mark in front of the palette name, for example, ?terrain.colors.

Previous Section
End of Section 9
Next Section