It is important for objects and functions to be named consistently and sensibly.
R studio review code#
In-line with the principle of automation (automate any task that can save time by automating), the easiest way to improve your code is to ask your computer to do it, using RStudio. The style followed in this book is based on a combination of Hadley Wickham’s guide and our own preferences (we follow Yihui Xie in preferring = to <- for assignment, for example). There are a number of R style guides online that are broadly similar, including one by Google, Hadley Whickham and Richie Cotton. When your code is read by multiple readers or you are developing code with co-workers, having a consistent style is even more important. Good coding style will make you more efficient even if you are the only person who reads it. There are, however, general principles that most programmers agree on, such as: To some extent good style is subjective and down to personal taste. There is no single ‘correct’ style, but using multiple styles in the same project is wrong (Bååth 2012). To be a successful programmer you need to use a consistent programming style. The final section, 9.4, addresses the question of working in a team and performing code reviews.
R studio review software#
Fortunately it is now easier than ever before to integrate version control into your project, using RStudio’s interface to the version control software git and online code sharing websites such as GitHub. Even on small projects tracking the progress of your project’s code-base has many advantages and makes collaboration much easier. When working on complex programming projects with multiple inter-dependencies version control is essential. Like using a clear style in human language, following a style guide has the additional advantage of making your code more understandable to others. This can be encouraged by using a uniform style with many comments, as described in Section 9.2. Even if you are working alone, dividing the work into discrete branches in this way can be useful, as discussed in Chapter 4.Ĭollaborative programming provides an opportunity for people to review each other’s code. It makes sense to specialize: clearly defining roles such as statistician, front-end developer, system administrator and project manager will make your team stronger. A team with a diverse skill set is usually stronger than a team with a very narrow focus.
R studio review how to#
This chapter provides guidance on how to minimise the risks and maximise the benefits of collaborative R programming.Ĭollaborative working has a number of benefits. This poses risks but also opportunities for improving computational efficiency and productivity, especially if project collaborators are reading and committing code. Large projects inevitably involve many people. 9.3.4 Branches, forks, pulls and clones.
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