R Course Online

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R C O U R S E O N L I N E
B E S T O N L I N E C O U R S E S C O U P O N . C
O M
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PRESENTATION OVERVIEW
About R programming language Features Environment
setup R data types, Variable, Operators
Decision making and looping Function, List,
Matrices and arrays Factors and packages Data
interfaces in R programming language R graphs
and charts R statistics
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ABOUT R
PROGRAMMING LANGUAGE
R is a multi-paradigm and open source
programming language, and it is a software
environment which is mainly designed for
statistical computing and graphics. This R
programming language was created by Ross Ihaka
and Robert Gentleman, and it was originally
released in the year 1993.
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• R is not only a programming language but also a
  software environment which is helpful for
  creating a statistical analysis, graphical
  representation, and reporting.

R is a simple and well developed interpreted
programming language which uses many useful
concepts such as loops, conditionals, recursive
functions to perform several tasks. F E A T U R
E S
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Environment Setup
By using the l ink https// cran. r- project.
org/ bin/ windows/ base/, the developers can
download the Windows installer version of R for
Windows 32 bit and 64 bit. I f you don t want to
set up your environment for R programming
language, then you the R environment which is
readily available in online.
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R DATA TYPES
The variables are used in all programming
languages to store the values of various data
types. Just the variables are called as reserved
memory locations. Unlike C and Java, R
programming language does not declare the data
types to variables. Some of the commonly using
data types are character, raw, complex, integer,
numeric, logical.
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V A R I A B L E S
I n R programming language, the variables are
used to store an atomic vector, combination of R
objects or a group of atomic vectors. The
variable names usually start with letters not
with numeric numbers, and it does not allow any
special characters without underscore and dot.
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O P E R A T O R S
R operators are symbols used to perform
mathematical and logical operations.
Types of operators Arithmetic operators
Relational operators Logical operators Miscellane
ous operators Assignment operators
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DECISION MAKING AND LOOPING
Decision Making - The decision- making
statements are used by the programmers to test
the conditions which are mentioned above
the group of statements. I f the condition is
true, then the group of statements will be
executed to obtain optimum results. Loop
statements - are used by the programmers to
repeat the same task for several numbers of t
imes.
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F U N C T I O N

• A proper function is a group of statements
• which are executed by calling the
• particular function name to attain a
• specific task. I n R programming language, the
  function is created by using the
• keyword called the function.
• components of function Function
• name, Arguments, Function body, Return type .

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LIST
l ist is created by using the function named l
ist( ) . Then the l ist has various types of
elements such as numbers, vectors, strings, and a
l ist within the l ist. Sometimes, the matrix or
function is also called as the elements of l
ists.
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Matrices and arrays
Matrix is one of the objects of R where the
elements are arranged in the 2 - D rectangular
layout. The matrix( ) function is used to create
a matrix. The array is also an R data objects
which is used to store the data in more than two
dimensions. The array ( ) function is used to
create an array.
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F A C T O R S A N D P A C K A G E S
The factor is also the R objects that are used
to sort out and store the data easily. Factors
are store both integer as well as strings. The R
packages are the collection of R functions, sample
data, and the compiled code. These packages are
stored in the directory called the l ibrary.
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Data interfaces

• R programming language, the programmers can read
  the data from the file and store up in the
  outside of the R environment.
• the programmers can write data in the file which
  are stored and accessed by the operating system.
  So the developers can read and write data in
  many file formats such as Excel, CSV, XML, etc.

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R GRAPHS AND CHARTS
The R programming language is used to create
many types of graphs and charts using various l
ibraries. The graphs and charts are usually used
to represent the data in the form of the picture
so that the data can be analyzed easily without
any confusion.
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R STATISTICS
The statistical analysis in R programming
language is performed by using various built- in
functions such as mean, median, and mode. R
programming language supports the commonly used
statistical concepts such as l inear regression,
multiple regression, binomial distribution,
poison regression, normal distribution, logistic
regression, etc.
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R C O U R S E
O N L I N E 2 0 1 7
Linkable Link
R Programming For Data Science With Real
Exercises Statistics With R Course For
Beginners Data Science And Machine Learning
Bootcamp With R Programming Language Advanced
Analytics Using R Programming For Data
Science Practical Data Science R COURSE ONLINE
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