![]() We want to assure you that learning R is worth it. In the preface, you can find an entire section in which we describe a few things you can do if you get stuck. Frustration is an unpleasant, but natural part of this process. Like any language, R has to be learned, and it needs practice to become a proficient user. R, on the other hand, has none of these limitations but can require more background knowledge. GUIs allow you to perform data analyses just by clicking a few buttons, but you are ultimately limited to the functionality that the developers have deemed important. Hadley Wickham, one of the most important figures in the R community, once stressed that R is fundamentally different to Graphical User Interface (GUI) based software for statistics ( Grolemund 2014, Foreword). Nevertheless, it is still harder to work with R compared to other data analysis programs you may have used before. We will also get to know an extremely powerful computer program that we can use to make writing and running R code much less cumbersome. Over the last two decades, thousands of intelligent people all around the world have contributed ways to make working with R easier and more convenient for its users. That is understandable, but there is no reason to worry. ![]() Possibly, this is your first-ever exposure to programming, and you might feel a little anxious. N this chapter, we begin our journey into the R universe. ![]()
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