To sum up this introduction to R for statistical computing, we saw that R is effective for data handling and storage. It also provides a very large set of coherent tools for data analysis. In the same program, you can recode variables, use variables for identifying their distribution, can graph them, put them into regression equation. You can do them easily using simple codes and functions that you can write. The syntax of R is very intuitive, almost like the way we speak. Thus it has a very well developed and effective programming component.