R
R
R was created by statisticians Ross Ihaka and Robert Gentleman at the University of Auckland New Zealand. It was officially released in June 1995. The R Foundation is a non-profit organization that provides further support for the R project. It is mainly used for statistical computing and graphics. R is widely used for data mining and statistics for data analysis and developing statistical software. Users have also created many packages that provide many functions within R.
R is a statistical programming language. It is used by data miners, statisticians, researchers, and more for data analysis, statistical inference, and machine learning algorithms. It is especially useful for creating high quality data visuals. R It is an open source language and provides various statistical libraries. There are more than 10,000 packages stored in its Comprehensive R Archive Network (CRAN) repository.
Some useful R packages include:
ggplot2 - good for creating graphics
labeling - functions for axis labeling
scales - good for determining labels for plots
R is especially useful for data analysis and statistics. Beginners in fields such as biology, data science, and statistics may want to learn R. It is widely used for data analysis, so if you are interested in doing research that requires a lot of data collection and analysis, R is the programming language for you. In addition, R has great packages for visualizing data, which is great for reporting results to peers, customers, or managers.
The advantage of R is that it is the most comprehensive package on statistical analysis and new technologies and concepts are usually first to show up in R. It can run on any operating system, and it has a large set of packages. It is also open-source, so you can use it for free (unlike MATLAB, which requires a paid license).