📄️ Working with Packages in R
Packages in R are collections of functions, data, code, and documentation that can be used to increase the capabilities of R. By using packages, you can access methods to perform various tasks, from graphic representations of data to statistical analysis. In this tutorial, we will explore how to install, load, and use packages in R.
📄️ Debugging in R
Debugging is an essential skill for any developer and the same is true for anyone using R. It involves detecting, locating, and correcting bugs in a program. In R, there are several tools available to help with this process. In this article, we will explore some of these tools and strategies for effective debugging in R.
📄️ Performance Measures in R
Performance measures in R refer to the various metrics used to evaluate the quality of a prediction model. These metrics help us to understand the effectiveness of our model, its strengths and weaknesses. In this article, we'll explore the most commonly used performance measures in R.