In this tutorial, we learn to modify the color of different graphical parameters of a plot like title, axis labels and range.

1. www.r-squared.in/git-hub
dataCrunch
Data Visualization With R
Learn To Add/Modify Color To Plots

2. dataCrunchCourse Material
Slide 2
All the material related to this course are available at our Website
Slides can be viewed at SlideShare
Scripts can be downloaded from GitHub
Videos can be viewed on our Youtube Channel

3. dataCrunch
Color
Slide 3

4. dataCrunchColor
Slide 4
In this section, we will learn to add colors to the following using the col argument:
● Plot Symbol
● Title & Subtitle
● Axis
● Axis Labels
● Foreground

5. dataCrunchSyntax
Slide 5
Feature Argument Value Example
Symbol col
String
Hexadecimal
RGB
"blue"
Title col.main "#0000ff"
Subtitle col.sub rgb(0, 0, 1)
Axis col.axis "red"
Label col.lab "#ff0000"
Foreground fg rgb(1, 0, 0)
The col argument can be used along with main, sub, axis and lab arguments to specify the color of
the title, subtitle, axes and the labels.

6. dataCrunchColor: Symbol
Slide 6
# modify color of the plot
plot(mtcars$disp, mtcars$mpg,
col= "red")
OR
plot(mtcars$disp, mtcars$mpg,
col = "#ff0000")
OR
plot(mtcars$disp, mtcars$mpg,
col = rgb(1, 0, 0))
Description
Let us begin by adding color to the symbol in the
plot using the col argument in the plot()
function.
Code

7. dataCrunchColor: Title
Slide 7
# modify the color of the title
plot(mtcars$disp, mtcars$mpg,
main = "Displacement vs Miles Per Gallon",
col.main = "blue")
OR
plot(mtcars$disp, mtcars$mpg,
main = "Displacement vs Miles Per Gallon",
col.main = "#0000ff")
OR
plot(mtcars$disp, mtcars$mpg,
main = "Displacement vs Miles Per Gallon",
col.main = rgb(0, 0, 1))
Description
The color of the title can be modified by using the
col.main argument in the plot() function.
Code

8. dataCrunchColor: Subtitle
Slide 8
# modify the color of the subtitle
plot(mtcars$disp, mtcars$mpg,
sub= "Displacement vs Miles Per Gallon",
col.sub = "blue")
OR
plot(mtcars$disp, mtcars$mpg,
sub= "Displacement vs Miles Per Gallon",
col.sub = "#0000ff")
OR
plot(mtcars$disp, mtcars$mpg,
sub= "Displacement vs Miles Per Gallon",
col.sub = rgb(0, 0, 1))
Description
The color of the subtitle can be modified by using
the col.sub argument in the plot() function.
Code

9. dataCrunchColor: Axis
Slide 9
# modify the color of the axis
plot(mtcars$disp, mtcars$mpg,
col.axis = "blue")
OR
plot(mtcars$disp, mtcars$mpg,
col.axis = "#0000ff")
OR
plot(mtcars$disp, mtcars$mpg,
col.axis = rgb(0, 0, 1))
Description
The color of the axis can be modified by using the
col.axis argument in the plot() function.
Code

10. dataCrunchColor: Labels
Slide 10
# modify the color of the labels
plot(mtcars$disp, mtcars$mpg,
xlab = "Displacement",
ylab = "Miles Per Gallon",
col.lab = "blue")
Description
The color of the labels can be modified by using the
col.lab argument in the plot() function.
Code

11. dataCrunchColor: Foreground
Slide 11
# modify the color of the foreground
plot(mtcars$disp, mtcars$mpg,
fg= "red")
Description
The color of the foreground can be modified by
using the fg argument in the plot() function.
Code

12. dataCrunchColor: Using title() function
Slide 12
# Create a basic plot
plot(mtcars$disp, mtcars$mpg, ann= FALSE)
# modify color using title() function
title(main = "Displacement vs Miles Per Gallon",
xlab = "Displacement",
ylab = "Miles Per Gallon",
col.main = "blue", col.lab = "red")
Description
The colors of the title, subtitle and the labels can be
modified using the title() function as well. Let us
try it out:
Code

13. dataCrunch
Slide 13
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