In fact, R is less a “program” and more a programming language. The first thing first-time users of R may notice is that R is not a “push button, receive analyses” interface. Install the base R programming language, then install Rstudio. 1įor first-time users, I strongly recommend getting a graphical user interface (GUI) front-end for R. Windows users will want to select “base” to install the latest version of R. Any person can download and install R and all its capabilities without needing to shell out hundreds or thousands of dollars. R is also useful because it is free, unlike Stata and SPSS. It can handle advanced computational models better than some canned software packages like Stata and SPSS and can permit advanced users to write their own functions. Statisticians and quantitative researchers are moving to R because of its flexibility. R is an open source programming language with origins in C and FORTRAN. I prefer to teach applied statistical analysis to students using the R programming language as a guide.
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