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Introduction in R Programming

R language is quite famous programming language for researcher. Especially, for Big Data Analytics. Of course, there’s still Python which the number one for Big Data Analytic, but R is good enough to compete Python. Most of Data Scientist I’ve known suggest me to using R for statistical and analysis the data. R is GNU package. Mostly it’s written on C , Fortran and R. R is free under the GNU General Public License. R is an implementation of the S programming language combined with lexical scoping semantics inspired by Scheme. S was created by John Chambers while at Bell Labs. R is an interpreted language; users typically access it through a command-line interpreter.

The capabilities of R are extended through user-created packages, which allow specialized statistical techniques, graphical devices (such as the ggplot2 package developed by Hadley Wickham), import/export capabilities, reporting tools (knitr, Sweave), etc. A core set of packages is included with the installation of R, with more than 7,801 additional packages (as of January 2016) available at the Comprehensive R Archive Network (CRAN).

Next I will write some tutorial for R Programming. Stay tuned , guys :D

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