Shulou(Shulou.com)06/03 Report--

Which is difficult to learn, R language or C language? I believe that many inexperienced people are at a loss about this, so this article summarizes the causes and solutions of the problem. Through this article, I hope you can solve this problem.

C language is more difficult, because R is an explanatory language and does not need to be compiled, C needs to be compiled. Compared with the two, R is a tall building that has been built and can live, while C is how to build the basic objects of a high-rise building. such as doors and windows, bricks, beams, foundations and so on all have to be remanufactured.

As a statistical analysis software, R integrates statistical analysis and graphic display. It can run on UNIX,Windows and Macintosh operating systems, and embeds a very convenient and practical help system. Compared with other statistical analysis software, R has the following characteristics:

1.R is free software. This means that it is completely free and open source. You can download any relevant installer, source code, package and its source code and documentation from its website and its mirror image. The standard installation file body itself has many modules and embedded statistical functions, which can directly realize many commonly used statistical functions after installation.

2.R is a programmable language. As an open statistical programming environment, the grammar is easy to understand, and it is easy to learn and master the language grammar. And after learning, we can write our own functions to expand the existing language. This is why it updates much faster than general statistical software, such as SPSS,SAS. Most of the latest statistical methods and techniques are available directly in R.

3. All R functions and data sets are stored in the package. Only when a package is loaded can its contents be accessed. Some common and basic packages have been included in the standard installation files, and with the emergence of new statistical analysis methods, the packages contained in the standard installation files are constantly changing with the update of the version. In the other version of the installation file, the packages that have been included are: base-R basic module, mle-maximum likelihood estimation module, ts-time series analysis module, mva-multivariate statistical analysis module, survival-survival analysis module and so on.

4. R is highly interactive. Except that the graphic output is in another window, its input and output windows are all in the same window. If there are errors in the input syntax, you will be prompted immediately in the window mouth, and you can remember the previously entered commands. You can reproduce, edit and modify at any time to meet the needs of users. The output graphics can be directly saved to JPG,BMP,PNG and other picture formats, and can also be directly saved as PDF files. In addition, there is a good interface with other programming languages and databases.

5. If you join R's help mailing list 1, you may receive dozens of email messages about R every day. You can discuss various problems with the world's leading experts in statistical computing, which can be said to be the gathering place for the thinking of the largest and most cutting-edge statisticians in the world.

R is a GNU project based on S language, so it can also be regarded as an implementation of S language. Usually, the code written in S language can run in R environment without modification. The syntax of R comes from Scheme. The use of R has many similarities with S-PLUS, and the two languages are compatible to some extent. The user manual of S-PLUS can be used as the manual of R with a little modification. So some people say: r, is a "clone" of S-PLUS.

After reading the above, have you mastered which difficult method to learn R language or C language? If you want to learn more skills or want to know more about it, you are welcome to follow the industry information channel, thank you for reading!

Welcome to subscribe "Shulou Technology Information " to get latest news, interesting things and hot topics in the IT industry, and controls the hottest and latest Internet news, technology news and IT industry trends.