A compilation of basic programming techniques for R language-Preface

Objective

The R language is a rapidly rising programming language for data analysis and data mining in recent years, developed by a group of statisticians and widely used in a variety of industries where statistical analysis is required. In the era of big data, its elegant coding style, all-encompassing development package, and powerful data processing capabilities have attracted people from all areas of the data analysis-related work.

The R language is powerful and free, but its learning curve is also steep. I have C/c++,c#,python and other language development experience, on my experience, from the beginning of the development level of r language to intermediate level of development, more difficult than other programming languages, often many beginners in this stage gave up, quite a pity. In addition, it is very difficult to write code for a large number of data analysts who do not have much programming experience.

This article is my years in the process of learning R language accumulated notes, is the nature of the article, the articles collected in various ways, including various forum posts, blog posts, QQ group discussion records, group discussion records, science and technology news, magazines, newspapers, my own essays and so on. I browse related articles, blogs, group discussion, news more than 20,000 (article), due to a large number of sources, the age, there is no way to list the source, if there are readers who believe that the article is infringing your interests, please contact with me. I based on my own learning experience, as well as other R language learners found common problems, summed up the content of this article. These problems are repeatedly and extensively raised, which greatly puzzles the General R language Beginners.

This article is not suitable for the R language completely do not understand the user, but for the R language has a basic understanding, read one or two of the introductory nature of the textbook, but the lack of practical programming experience for beginners, can help them to the middle-level developers to change. Once you become a mid-level developer, the halls of the R language are officially open to them, and the next step is to carefully examine the toolkit for the areas you need to advance to advanced developers.

The source code in this article strive to be simple, only focus on a small problem, most of the code after I test, if the reader encountered problems, please ask me. This article is still in the continuous updating, as the content of this article is more and more rich, the speed of collection items will gradually decline, because a large number of common problems have been included.

If the reader is interested, you can ask me for the latest version of this article, I maintain the PDF version of the article is organized and categorized, there are also help to query the directory.

Contact information: qq:59739150 e-mail: [email protected]

A compilation of basic programming techniques for R language-Preface