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Core Team Analitik Data Raya was established to modernise public sector services

through managing and implementing big data analysis with the collaboration of other government agencies.

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An open-source statistical environment which uses programming syntax with many built-in statistical functions.

R Programming for

Data Science

01

What is R?

  • An open-source statistical environment which uses programming syntax with many built-in statistical functions

  • R is an integrated suite of software facilities for data manipulation, calculation and graphical display.

  • R is a dialect of S.

  • S was initiated in 1976.

  • One key limitation of the S language was that it was only available in a commercial package, S-PLUS.

  • 1991, R was created by Ross Ihaka and Robert Gentleman in the Department of Statistics at the University of Auckland.

  • 1993 the first announcement of R was made to the public.

  • 1995, Martin Mächler  convincing Ross and Robert to make R free software

02

Why R?

  • R is open source, so it’s free.

  • R provides a wide variety of statistical techniques and graphical capabilities.

  • R has a vast community both in academia and in business

  • It has comprehensive set of function

  1. Data access

  2. Data cleaning

  3. Analysis

  4. Data reporting

​

  • Two platform of R and R Studio. Compatible on Windows, MAC OSX and Linux

  • Highly extensible and it has thousands of well-documented extensions (named R packages) for a very broad range of applications in the financial sector, health care,…

03

What is CRAN in R?

  • CRAN =  Comprehensive R Archive Network

  • The primary R system

  • CRAN also hosts many add-on packages that can be used to extend the functionality of R.

04

What is PACKAGES in R?

  • Collections of R functions, data, and compiled code in a well-defined format

  • The directory where packages are stored is called the library.

  • R comes with a standard set of packages.

  • Others are available for download and installation

  • More than 7,800 packages

05

R vs R Studio

  • R : programming language that runs computations

  • R studio : is an integrated development environment (IDE) that provides an interface by adding many convenient features and tools.

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https://cran.r-project.org/

https://www.rstudio.com/products/rstudio/download/

06

How to install R?

  • You will first need to download and install both R and RStudio (Desktop version).

  • It is important that you install R first and then install RStudio.

Install R

Install R Studio

07

Getting Started with R

  • Start R by Double click on R shortcut icon/ Go to Start → Program → R or R Studio

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08

Getting Started with R : File/ plot/ packages/ help window

Here you can open files, view plots (also previous plots), install and load packages or use the help function.

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