Book Image

Mastering Scientific Computing with R

Book Image

Mastering Scientific Computing with R

Overview of this book

Table of Contents (17 chapters)
Mastering Scientific Computing with R
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Preface
Index

Summary


In this chapter, we saw how data is stored and accessed in R. We also discussed how to write functions. You should now be able to write and access data in vectors, arrays, and data frames, and load your data into R. We also learned how to make basic plots using built-in R functions and the ggplot2 package. You should also know how to use flow-control statements in your code and write your own functions and use built-in tools to troubleshoot your code.

Now that you have a foundation in R data structures, we will move on to statistical methods in the next chapter, where you will find out how to obtain useful statistical information from your dataset and fit your data to known probability distributions.