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R Programming

15 Best R Programming Interview Questions and Answers

What Is R Programming?
The R is an open source programming language and widely used for statistical computing, graphics, data analytics and scientific research.

The R programming language is most commonly used for developing the statistical software and data analysis.

The R programming was created by Robert Gentleman and Ross Ihaka at the University of Auckland, New Zealand in August 1993; 24 years Ago.
The currently managing and developing all the features and other related to R  - R Development Core Team and Its popularity is grown recent years.

The R programming supports dynamic typing, parallel computing and integration with big data technologies.

What Are the Advantages of R Programming?
The List of the Advantages -
1.      It's used for managing the data.
2.      No license restrictions
3.      It is free and open source.
4.      Graphical capabilities are very good.
5.      and so on

What Are the Disadvantages of R Programming?
The List of Disadvantages -
1.      Lack of standard GUI
2.      Not good for big data
3.      Does not provide spread sheet view of data

How Is Data Import in R Language?
In the R language, Data can be imported in 3 ways such as -
1.      Select the data set or enter the name of the data set which required.
2.      Data is entered directly using the editor of R Commander by using the Data->New Data Set.
3.      Data can also be imported from a URL or from plain text file.

What Are the Data Types in R Language?
The R programming language has a wide variety of data types including scalars, vectors (numerical, character, and logical), matrices, data frames and lists.
The frequently used data types are –
1.      Vectors
2.      Matrices-numeric, character
3.      Arrays
4.      Data Frames
5.      Lists
6.      Factors
7.      Useful Functions
The simplest of these above objects is - Vector Object and there are six data types of these atomic vectors, also termed as six classes of vectors. The other R-Objects are built upon the atomic vectors.

What Are Use of with () and BY () functions in R?
The with () function is used to apply an expression for a given dataset and its looks like –
#with(data,expression)


The by () function is used for applying a function each level of factors and its looks like –
#by(data,factorlist,function)


Why Use R for Statistical Computing and Graphics?
1.      R is open source programming and free!
2.      R runs on all platforms
3.      R is most popular and currently increasing its popularity

How R commands Are Written?
By using the “#” at the starting of the line of code and its looks like “#division” commands is written.

What Is the use of sample () and subset () functions in R?
The sample () function is used to generate a random sample of the size n from a dataset.
The subset () function is used to select the variables and observations

What is t-tests () in R?
It is used to determine that means of two groups are equal or not by using the t.test() function.

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