What is R Studio and How Does It Work?


    WHAT IS R Studio?

    R is the open-source statistical language that seems poised to “take over the world” of statistics and
    data science. R is really more than a statistical package – it is a language or an environment designed
    to potentiate statistical analysis and production of high quality graphics (for more on information see

    Originally developed by two statisticians at the University of Auckland as a dialect of the S statistical language,
    since 1997 the development of R has been overseen by a core team of some 20 professional statisticians (for
    more on information see www.r-project.org/contributors/html).

    Many new users find that R is initially hard to use. One needs to learn to write code, and there are no (or
    few) menu tools to make the process easier. In fact, when a grad school friend first excitedly described R to
    me in 2004 my first thought was “Why would I want to learn that?”. I dabbled in R several times following
    that, but was put off by the difficulties I encountered. I finally began using R in earnest as an environment
    for some simulation modeling, and then later for statistical and graphical work

    R Studio is a free, open-source software program for statistical analysis, based on the S language.



    RStudio is a free, open source IDE (integrated development environment) for R. (You must install R before you can install RStudio.) Its interface is organized so that the user can clearly view graphs, data tables, R code, and output all at the same time. It also offers an Import-Wizard-like feature that allows users to import CSV, Excel, SAS (*.sas7bdat), SPSS (*.sav), and Stata (*.dta) files into R without having to write the code to do so.

    WHY USE R Studio?

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