Book Image

R Programming By Example

By : Omar Trejo Navarro
Book Image

R Programming By Example

By: Omar Trejo Navarro

Overview of this book

R is a high-level statistical language and is widely used among statisticians and data miners to develop analytical applications. Often, data analysis people with great analytical skills lack solid programming knowledge and are unfamiliar with the correct ways to use R. Based on the version 3.4, this book will help you develop strong fundamentals when working with R by taking you through a series of full representative examples, giving you a holistic view of R. We begin with the basic installation and configuration of the R environment. As you progress through the exercises, you'll become thoroughly acquainted with R's features and its packages. With this book, you will learn about the basic concepts of R programming, work efficiently with graphs, create publication-ready and interactive 3D graphs, and gain a better understanding of the data at hand. The detailed step-by-step instructions will enable you to get a clean set of data, produce good visualizations, and create reports for the results. It also teaches you various methods to perform code profiling and performance enhancement with good programming practices, delegation, and parallelization. By the end of this book, you will know how to efficiently work with data, create quality visualizations and reports, and develop code that is modular, expressive, and maintainable.
Table of Contents (12 chapters)

Starting with simple applications for bar graphs

We will start with simple graphs and build our way up towards advanced graphs. The first graph we will create is a bar graph. We will plot a frequency table that shows how many sale orders we have for each QUANTITY number in our sales. To do so, we use the ggplot() function using sales as the data and setting up the aesthetics with the aes() function with QUANTITY in the x axis (the first argument).

After we create a graph base with the ggplot() function, we add layers for different objects we want to see in the graph (for example, bars, lines, and points). In this case, we add bars with the geom_bar() function. Note how this layer is added using the + (plus) sign to the graph base. After that, we add another layer for the title with ggtitle(). Finally, we add an x axis specification with the scale_x_continuous() function that will...