Basics

The post is about Interview Questions about R Language. It contains some basic questions that are usually asked in interviews.

What is R?

R is a programming language and environment for statistical computing and graphics. It is an open-source language that provides a wide variety of statistical and graphical techniques and is highly extensible. The strength of R is the ease with which well-designed publication-quality plots can be produced, including mathematical/statistical symbols and formulae where needed.

R language is available as Free Software under the terms of the Free Software Foundation’s GNU General Public License in source code form. It compiles and runs on a wide variety of UNIX platforms and similar systems (including FreeBSD and Linux), Windows, and Mac OS. The R command line interface (CLI) consists of a prompt, usually the > character. Data miners use it for developing statistical software and data analysis.

What is CLI in R?

CLI stands for Command Line Interface. In a command line interface, the user types the command that they want to execute and presses the Return key. For example, if you type the line 2+2 and press the return key, R will give you the result [1] 4.

What is GUI in R?

GUI stands for Graphical User Interface. R Language is a command line-driven program. The user enters instructions at the command prompt ( > by default ) and each command is executed one at a time. There have been a number of attempts to create a more graphical interface, ranging from code editors that interact with R, to full-blown GUIs that present the user with menus and dialog boxes.

Who is the Creator of R Language?

R language was created by Ross Ihaka and Robert Gentleman at the University of Auckland, New Zealand. It is currently developed by the R Development Core Team, of which Chambers is a member. R is named partly after the first names of the first two R authors and partly as a play on the name of S. The project was conceived in 1992, with an initial version released in 1995 and a stable beta version in 2000.

What are the Applications of the R Language?

• Many data analysts and researchers use R because R language is the most prevalent language. Hence, R is used as a fundamental tool for data analysis in various disciplines such as mathematics, economics, social sciences, natural sciences, technology and engineering, business and finance, etc.
• Many quantitative analysts use R as their programming tool. R helps in data importing and cleaning, depending on what manner of strategy the researchers are using.
• R is best for data Science because it gives a broad variety of statistics and data manipulation tools. In addition, R provides the environment for statistical computing and design. Rather R is considered as an alternate execution of S.

Why R is Important?

R language is a programming language and a leading tool for machine learning, artificial intelligence, data mining, natural language processing, statistics, and data analysis. By using R one can create objects, functions, and packages. R language is a platform independent, so one can use it on any operating system. The downloading and installation of R language is free, therefore, one can use it without purchasing a license.

R is open-source which means anyone can examine the source code to see what exactly is doing on screen. Anyone can add a feature and fix bugs without waiting for the vendor to do this. It also allows the user to integrate with other languages (such as C and C++). It also enables the user to interact with many data sources and statistical packages (such as SAS and SPSS). R has a large growing community of users working day by day to enhance its working and powers.

General Knowledge Quiz, MCQS Statistics with Answers