Chapter 2. The Power of R

Having understood how to integrate both the platforms in the previous chapter, we'll walk through the different ways in which you can use R to combine and compare data for analysis.

We will cover, with examples, the core essentials of R programming such as variables and data structures in R such as matrices, factors, vectors, and data frames. We will also focus on control mechanisms in R (relational operators, logical operators, conditional statements, loops, functions, and apply) and how to execute these commands in R to get grips with it before proceeding to chapters that heavily rely on these concepts for scripting complex analytical operations.

Core essentials of R programming

One of the reasons for R's success is its ...

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