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  1. Importing Data. Importing data into R is fairly simple. R offers options to import many file types, from CSVs to databases. For example, this is how to import a CSV into R. # first row contains variable names, comma is separator. # assign the variable id to row names. # note the / instead of \ on mswindows systems.

  2. Learn the R programming language in this tutorial course. This is a hands-on overview of the statistical programming language R, one of the most important to...

    • 131 min
    • 4.2M
    • freeCodeCamp.org
  3. www.tutorialspoint.com › rR Tutorial

    R Tutorial - R is a programming language and software environment for statistical analysis, graphics representation and reporting. R was created by Ross Ihaka and Robert Gentleman at the University of Auckland, New Zealand, and is currently developed by the R Development Core Team. R is freely available under th.

  4. R Programming Fundamentals. Develop your R programming skills and learn how to code like a programmer in this beginner’s track. Explore the R language and practice your R coding skills. First, you’ll learn how to work with common data structures in R, like vectors, matrices, and data frames, before expanding your skills by mastering ...

  5. R is a popular programming language that allows people to adeptly handle mass amounts of data, generate publication-quality visualizations, and perform a range of statistical and analytic computing tasks. Used in fields including data science, finance, academia, and more, R is powerful, flexible, and extensible.

  6. R programming language is a useful tool for data scientists, analysts, and statisticians, especially those working in academic settings. R's ability to handle complex analyses such as machine learning, financial modeling, and more makes it a valuable asset for a wide range of data-related tasks. This introduction to R course covers the basics ...

  7. 1.13 Logical operators. 1.13. Logical operators. The basic logical values in R are TRUE (or just T) and FALSE (or just F ). These come up very often in R when you are checking an object, for example using is.na(x), or comparing an object to a value or another object, as in x > 5 or x > y. Some commonly used logical operators: Many of these are ...

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