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R Graph Essentials

You're reading from  R Graph Essentials

Product type Book
Published in Sep 2014
Publisher
ISBN-13 9781783554553
Pages 190 pages
Edition 1st Edition
Languages
Toc

Table of Contents (11) Chapters close

R Graph Essentials
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
1. Base Graphics in R – One Step at a Time 2. Advanced Functions in Base Graphics 3. Mastering the qplot Function 4. Creating Graphs with ggplot Index

Controlling colors on your graph


Now let's map the symbol size to GENDER and the symbol color to EXERCISE. To control your symbol colors, use the layer scale_color_manual() and select your desired colors. We choose red and blue and symbol sizes 3 and 7, as shown in the following syntax:

qplot(HEIGHT, WEIGHT_1, data = T, geom = c("point"), xlab = "HEIGHT (cm)", ylab = "WEIGHT BEFORE TREATMENT (kg)" , size = factor(GENDER), color = factor(EXERCISE)) + scale_size_manual(values = c(3, 7)) + scale_color_manual(values = c("red","blue"))

Here is our graph with red and blue points:

Now you know how to choose you own color scheme for your qplot graphs. Mapping color to categorical data can give us additional insight into the relationships that exist between variables.

Now let's see how to control the legend title (the title that sits directly above the legend). For this example, we control the legend title through the name argument within the two functions scale_size_manual() and scale_color_manual...

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