R Language Development Environment Establishment

R language has significant advantages in Statistical Computing and plotting, so it also has a place in the big data field. This article demonstrates how to build an R language development environment.

There are two steps to build the r language development environment:

-Install R to the Operating System

-Install the R-supported ide

Procedure:

[1] installing R to the Operating System

1. for Windows, installation packages: http://ftp.ctex.org/mirrors/CRAN/bin/windows/base/R-3.1.1-win.exe

2. Install R. After installation, open the r console:

3. you can enter the simplest statement: "Pie (C (0.9, 0.2, 0.3, 0.4 ))", after the execution, you can see the generated image-from here you can understand the simplicity and strength of the r language:

[2] installing R-supported ide

Note: This article uses eclipse as the IDE

1. Download an eclipse 4.2

2. Download R's eclipse plugin statet: http://www.walware.de /? Page =/IT/downloads/RJ. mframe

3. Install eclipse Plugin:

4. Restart eclipse

5. Create an R project in eclipse

6. Create an R script

7. In R script, enter a line of code: "Pie (C (0.9, 0.2, 0.3, 0.4 ))"

8. Configure the r execution environment

-Enter run Configuration

-Select "rterm" in "launch type"

-Set R environment:

-After setting, click Run to exit.

9. Execute R script

Result -- a pie chart is also generated: