**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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