Easy steps to develop and publish your first R package
A step by step guide to building your own R package
The R packages are the open-source tools, generally used in analyzing or visualizing datasets. Nowadays, R packages are gaining huge popularity because of many reasons. Some of them are documented here.
The R packages are generally combinations of functions that are written in R and targeted for some data analysis functionalities. There are several packages for data wrangling, data visualization, data predictions, datasets, optimizations, test benches, performance evaluation tools, and many more. The combination of such R packages makes the task of data analysis as easy as playing with some board games.
Several researchers working in computational domain work on various interesting problem statements and end up with some meaningful code and analysis. Generally, GitHub is the preferred repository for many researchers to store and share their codes. If such codes are documented and demonstrated well, the world can utilize it with boundless possibilities. But, in alternative cases, if such codes are lacking with instruction manuals, documentation, and prerequisite sources or libraries, it is challenging to troubleshoot and reproduce the results. Besides, the version controls are the other serious issues.