Add Titles to a Graph in R Programming - title() Function

In R Programming Language the title() function is often used to add annotations, titles, and labels to specific regions of a plot. The function allows customization of the main title, subtitle, and axis labels. Here's a brief explanation of the parameters commonly used with the title() function.

Syntax:

title(main = NULL, sub = NULL, xlab = NULL, ylab = NULL, …)

Parameters:

main: Main title of the graph

sub: Defines subtitles

Parameters used in the title function()

There are some common parameters that are used in title function.

• xlab: Label for the X-axis.
• ylab: Label for the Y-axis.
• line: Line number where the title and subtitle start. Default is 3.
• outer: If TRUE, titles are plotted in the outer margin.
• col.main, col.sub, col.lab: Colors for the main title, subtitle, and axis labels.
• cex.main, cex.sub, cex.lab: Character expansion for the main title, subtitle, and axis labels.
• font.main, font.sub, font.lab: Font style for the main title, subtitle, and axis labels.

Adding title to the plot using title function()

Output:

In above example main title and sub titles are added to the plot. The arguments that can be used to change the font size are as follows:

• cex.main: size for main title
• cex.lab: text size for axis title
• cex.sub: text size of the sub-title

Adding title to the plot using title function()

Output:

Adding title to the plot using title function()

Output:

1. Data Setup: Defines x and y as values for the x and y axes.
2. Plot Creation: Uses the plot() function to create a colorful plot with specified axes and axis color.
3. Title Customization: Calls title() to add a main title, subtitle, and customize fonts and colors for both titles and axis labels.
4. Data Points: Adds red data points to the plot using points() for enhanced visualization.
5. Legend Inclusion: Places a legend in the top-right corner to label the red data points with appropriate styling.
6. Visualization: The final result is a visually appealing and customized plot with titles, labeled axes, data points, and a legend.