Summary

In this chapter, we covered the basic subjects that we are going to use in almost every operation from now on. First, you learned the fundamental methods of working with vectors, including the creation of three common types of vectors, subsetting them, and dealing with missing values in them. You also saw how dates are represented in R, and how such a representation can be useful when working with time series. In addition, we expanded on the function call structure in R, discussed how to define custom functions, and saw how a graphical output can be produced and saved.

In the next chapter, we are going to discuss working with tables in R. We will see that the common tabular data class in R (data.frame) is a direct extension of the vector ...

Get Learning R for Geospatial Analysis now with the O’Reilly learning platform.

O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.