2.23 Getting Help
REVIEW A key skill of any programmer, including those programming over data, is the ability to identify how to access the full power of our tools. The breadth and depth of the capabilities of R means that there is much to learn around both the basics of R programming and the multitude of packages that support the data scientist.
R provides extensive in-built documentation with many introductory
manuals and resources accessible through the RStudio Help
tab. These are a good adjunct to our very brief introduction here to
R. Further we can use RStudio’s search facility for documentation
on any action and we will find manual pages that provide an
understanding of the purpose, arguments, and return value of
functions, commands, and operators. We
can also ask for help using the utils::?
operator as in:
The package which provides this operator is another package that is attached by default into R. Thus we can drop its prefix as we did here when we run the command in the R Console.
RStudio provides a search box which can be used to find specific topics within the vast collection of R documentation. Now would be a good time to check the documentation for the base::library() command.
Beginning with this chapter we will also list at the conclusion of each chapter the functions, commands, and operators introduced within the chapter together with a brief synopsis of the purpose. The following section reviews all of the functions introduced so far.
Your donation will support ongoing availability and give you access to the PDF version of this book. Desktop Survival Guides include Data Science, GNU/Linux, and MLHub. Books available on Amazon include Data Mining with Rattle and Essentials of Data Science. Popular open source software includes rattle, wajig, and mlhub. Hosted by Togaware, a pioneer of free and open source software since 1984. Copyright © 1995-2022 Graham.Williams@togaware.com Creative Commons Attribution-ShareAlike 4.0
