R language and data analysis (2)-Introduction to R language

Features of R language

1. Effective data processing and storage mechanism

2. Have a complete set of operators for arrays and matrices

3. A series of coherent and complete data analysis intermediate tools

4. Graphic statistics can directly analyze and display the data, which can be used for a variety of graphic devices

5. A fairly complete, concise and efficient programming language

6. R language is a completely object-oriented statistical programming language

7. There is a good interface between R language and other programming languages ​​and databases

8. R language is free software, you can use it with confidence, but its function is not worse than any other similar software

9. R language has abundant online resources

R is used for calculation, for statistical analysis, supporting algorithms, for visualization of drawing data, is a programming language, and has complete extended functions (called R package)
For example, the bioconductor package can complete the analysis of most biological data.
R official website : https://www.r-project.org. The
official website contains most of the R materials.

R software commercial version: revolutionR, which can provide a better R operating environment, Better stability, and support for parallel computing, revolutionR provides a community version and a free version, the community version can be used for free, revolutionR has been acquired by Microsoft, renamed Microsoft R open; Microsoft R sever

Disadvantages of R language

1. The R software is not standardized enough, it is not easy to get started, and requires more effort and a lot of learning costs;

2. There are too many R expansion packs, it takes more time to find and learn