Using OpenCPU Framework: Step-by-Step Guide

The OpenCPU framework is an open-source framework based on the R language for building and deploying statistical analysis and data visualization applications. It allows R code to be encapsulated as RESTful APIs, which can be accessed through the network to perform statistical analysis and data visualization functions.

Here is the method of using the OpenCPU framework:

1. To install the OpenCPU server, first, you need to install the OpenCPU package on the server side by running install.packages(“opencpu”) in R language, and then configure the server following the official documentation.
2. Write R code: Write the R code that needs to be executed, and encapsulate it into a function or script.
3. Create a RESTful API: Wrap R code as a RESTful API using functions provided by the OpenCPU framework, which can be achieved through the ocpu::ocpu_start_app() function.
4. Invoke API: Use API to access the OpenCPU server via the network and execute R code, you can use HTTP requests to call the API and fetch the execution results.

By following the steps above, you can build and deploy statistical analysis and data visualization applications in R language using the OpenCPU framework. For more usage methods and examples, please refer to the official documentation of OpenCPU.