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You're reading from  R Bioinformatics Cookbook - Second Edition

Product typeBook
Published inOct 2023
PublisherPackt
ISBN-139781837634279
Edition2nd Edition
Concepts
Bioinformatics
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Author (1)
Dan MacLean
Dan MacLean
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Dan MacLean

Professor Dan MacLean has a PhD in molecular biology from the University of Cambridge and gained postdoctoral experience in genomics and bioinformatics at Stanford University in California. Dan is now an honorary professor at the School of Computing Sciences at the University of East Anglia. He has worked in bioinformatics and plant pathogenomics, specializing in R and Bioconductor, and has developed analytical workflows in bioinformatics, genomics, genetics, image analysis, and proteomics at the Sainsbury Laboratory since 2006. Dan has developed and published software packages in R, Ruby, and Python, with over 100,000 downloads combined.
Read more about Dan MacLean

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Customizing plots with ggeasy

One of the key aspects of customizing plots in ggplot2 is the theme() function, which allows users to customize elements of the plot’s overall appearance. Customizing plots in ggplot2 can be a little unintuitive. Although the theme() function is powerful, it does require the user to manually specify each element of the plot, such as axis labels, titles, colors, and shapes. The ggeasy package, built on top of ggplot2, aims to make plot customization more accessible by providing a simpler, more intuitive syntax for many common customization tasks. ggeasy provides a set of simple wrapper functions around theme() that make the important things a lot easier to remember. With this recipe, we’ll look at customizing labels, legends, and axes in a plot created initially in ggplot2.

Getting ready

We’ll need the ggplot2, ggeasy, and palmerpenguins packages.

How to do it…

We can customize a plot as follows.

Make a base plot...

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R Bioinformatics Cookbook - Second Edition
Published in: Oct 2023Publisher: PacktISBN-13: 9781837634279
© 2023 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Dan MacLean

Professor Dan MacLean has a PhD in molecular biology from the University of Cambridge and gained postdoctoral experience in genomics and bioinformatics at Stanford University in California. Dan is now an honorary professor at the School of Computing Sciences at the University of East Anglia. He has worked in bioinformatics and plant pathogenomics, specializing in R and Bioconductor, and has developed analytical workflows in bioinformatics, genomics, genetics, image analysis, and proteomics at the Sainsbury Laboratory since 2006. Dan has developed and published software packages in R, Ruby, and Python, with over 100,000 downloads combined.
Read more about Dan MacLean

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