Book Image

R Data Visualization Cookbook

By : Gohil
Book Image

R Data Visualization Cookbook

By: Gohil

Overview of this book

If you are a data journalist, academician, student or freelance designer who wants to learn about data visualization, this book is for you. Basic knowledge of R programming is expected.
Table of Contents (12 chapters)
11
Index

Using par to beautify a plot in R

One quick and easy way to edit a plot is by generating the plot in R and then using Inkspace or any other software to edit it. We can save some valuable time if we know some basic edits that can be applied on a plot by setting them in a par() function. All the available options to edit a plot can be studied in detail by typing ?par in the command window.

How to do it…

In the following code, I have highlighted some commonly used parameters:

x=c(1:10)
y=c(1:10)
par(bg = "#646989", las = 1, col.lab = "black", col.axis = "white",bty = "n",cex.axis = 0.9,cex.lab= 1.5)
plot(x,y, pch = 20, xlab = "fake x data", ylab = "fake y data")

How it works…

Under the par() function, we have set the background color using the bg = argument. The las = argument changes the orientation of the labels. The col.lab and col.axis arguments are used to specify the color of the labels as well as the axis. The cex argument is used to specify the size of the labels and axis. The bty argument is used to specify the box style in R.