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1 day ago · R (programming language) R is a programming language for statistical computing and data visualization. It has been adopted in the fields of data mining, bioinformatics, and data analysis. [9] The core R language is augmented by a large number of extension packages, containing reusable code, documentation, and sample data.
3 days ago · R is a powerful, open-source programming language specifically designed for statistical computing, data analysis, and graphical representation. It was developed in the early 1990s by Ross Ihaka and Robert Gentleman at the University of Auckland, New Zealand. Since its inception, R has become an indispensable tool in the data science community ...
3 days ago · R is a programming language and an analytics tool that was developed in 1993 by Robert Gentleman and Ross Ihaka at the University of Auckland, Auckland, New Zealand. It is extensively used by Software Programmers, Statisticians, Data Scientists, and Data Miners.
- Intellipaat
1 day ago · The course covers practical issues in statistical computing, which includes programming in R, reading data into R, accessing R packages, writing R functions, debugging, profiling R code, and organizing and commenting R code. Source: Coursera. 2. Introduction To R For Data Science. This introduction to R programming course will help you master ...
6 days ago · Programming is a way by which we can communicate instructions to a computer. There are many programming languages that one can use to program, including C, Python, Java, R, and on! We can use R to answer questions dealing with data, such as modeling how COVID-19 was spread on a cruise ship.
3 days ago · This blog on Machine Learning with R helps you understand the core concepts of machine learning followed by different machine learning algorithms and implementing those machine learning algorithms with R.
3 days ago · Data manipulation involves modifying data to make it easier to read and to be more organized. We manipulate data for analysis and visualization. It is also used with the term ‘data exploration’ which involves organizing data using available sets of variables.
