LEARN ALL THE BEST THINGS ABOUT R PROGRAMMING TRAINING IN DELHI &R PROGRAMMING EXAMPLES
SASVBA provides the best R Programming Training IN Delhi using the latest development environment and frameworks. We
constantly update our courses in line with the latest industry trends. SASVBA
is one of the R programming institutes course in Delhi and assists
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SASVBA Institute has an excellent and supportive environment
with high performance computers with modern IDEs. We also provide online
classes to ensure the comfort of our students so that they can learn easily
anywhere, anytime. The SASVBA Institute R's Faculty of Programming has
extensive experience and listens to the success stories of thousands of our
students.
TABLE OF CONTENT:
WHAT IS R
PROGRAMMING TRAINING IN DELHI
R PROGRAMMING
TRAINING IN DELHI INTRODUCTION
WHAT IS
SCOPE OF R PROGRAMMING
HOW R PROGRAMMING WORKS
ONLINE R
PROGRAMMING TUTORIALS
GRAPHICS WITH R
PROGRAMMING
SOME EXAMPLES OF R
PROGRAMMING
FAQ
IS R PROGRAMMING
IS BETTER THAN PYTHON
WHAT IS R
PROGRAMMING USED FOR
WHAT DOES R IN R
PROGRAMMING STANDS FOR
IS R PROGRAMMING
HARD TO LEARN
CONCLUSION
WHAT IS R PROGRAMMING TRAINING IN DELHI
R PROGRAMMING TRAINING IN DELHI is a programming
language and free software developed in 1993 by Ross Ihaka and Robert
Gentleman. R has an extensive list of statistics and graphical methods. This
includes machine learning algorithms, linear regression, time series, to name a
few numerical estimates. Most R libraries are written in R, but for heavy
computational tasks, C, C ++ and Fortran codes are preferred.
R is not only determined by academics, but many large
companies also use R programming language, including Uber, Google, Airbnb,
Facebook, etc.
Data analysis with R is performed in a series of steps;
Programming, conversion, research, modeling and communication results
|
Programming |
|
R is a clear and accessible programming tool |
|
Transformation |
|
R is made up of a collection of libraries specially
designed for data science. |
|
Search |
|
Examine the data, refine your estimates and analyze them |
|
Model |
|
R provides a variety of tools to capture the exact model
of your data |
|
Communicate |
|
Integrate code, graphs and outputs into a report with R
Markdown or create shiny apps to share with the world |
R programming is an interpreted programming language that is
a software environment used for the analysis of statistical information,
graphical representation, reporting and data modeling. R is being used by
researchers, data analysts, statisticians and marketers to obtain, refine,
analyze, visualize and present data.
R PROGRAMMING TRAINING IN DELHI INTRODUCTION
R PROGRAMMING TRAINING IN DELHI is an open-source
programming language widely used as a statistical software and data analysis
tool. R usually comes with a command line interface. R is available on widely
used platforms like Windows, Linux and MacOS. Also, R programming language is
the latest modern tool.
It was developed by Ross Ihaka and Robert Gentleman at the
University of Auckland, New Zealand, and is currently being developed by the R
Development Core team. R programming language is the practice of S programming
language. It also combines the field of plan-inspired terminology with
economics. In addition, the project began in 1992, with an initial version in
1995 and a stable beta version in 2000.
WHAT IS SCOPE OF R
PROGRAMMING
R Programming Training
in Delhi is one of the fastest growing languages and as far as adoption is
concerned, it has gone through a successful period of more than 25 years. This
breakthrough also reflects the potential for a brighter future for the R
programming language.
R is an open-source
equivalent, traditionally used in academia and research. Due to its open source
nature, the latest technologies are released faster than other data tools.
There are many documents available on the internet and this is a very cost
effective option for statistical analysis.
I will try to describe the
scope of R using the following attributes:
|
Availability / Cost |
|
Because R is an open-source
tool, anyone can download it for free. You are also welcome to distribute it. |
|
Ease of learning |
|
The learning curve in R is
quite high. For this you have to learn and understand coding. R is a low
level programming language and therefore simple processes may take longer. |
|
Data handling capability |
|
Calculates everything in R and
so recently its calculation was limited to a small amount of RAM on 32-bit
machines. This is no longer the case and it has good data handling
capabilities and parallel computing options. |
|
Graphical capabilities |
|
R has very advanced graphical
capabilities when it comes to pure statistics tools. There are many packages that
offer advanced graphical capabilities. |
|
Device Advancement |
|
Due to its open nature, R
receives the latest features and updates quickly. As it has been widely used
in academia in the past, new technologies are evolving rapidly. However, due
to open contributions, the potential for errors in the latest developments is
significant. |
|
Task view |
|
As far as the work view is
concerned, R has to face competition from SAS as a statistical tool.
Globally, SAS is the market leader in available corporate jobs. Most large
organizations still work on SAS. On the other hand, R is a better choice for
start-ups and companies looking for cost efficiency. Also, an increase in the
number of jobs has been reported in the last few years |
HOW R PROGRAMMING WORKS
The fact that R is a language may prevent some users from
thinking "I can't program". This should not be for two reasons.
First, R is an explanation Language is not compiled, meaning that all commands
typed on the keyboard are executed directly without the need to build the
entire program.
Like most computer languages (C, Fortran, Pascal, ...).Second,
the syntax of R is very simple and intuitive. For example, a linear Regression
can be done with lm (y ~ x) command which means "fitting".
In a linear model with y as the reactant and y as the
reaction.Can be run, a function must always be written with brackets, even If
they have nothing inside (for example, ls ()). If only a. Types the name Function
without function, R will display the contents of the function. in the meantime In
documents, the names of the functions are usually written in brackets.
Order to separate them from other items unless the text
clearly indicates So.When R is running, stored in variables, data, functions,
results, etc.The active memory of a computer in the form of objects has a name.
Users on these objects and operators (mathematical, logical,Compare. . .) And
functions (which are objects themselves). Using The operator is relatively
experienced
ONLINE R
PROGRAMMING TUTORIALS
GRAPHICS WITH R PROGRAMMING
R offers a great variety of graphics. To get an idea, one
can type Demo (graphics) or demo (Persp). It is not possible to expand the
possibilities of R in terms of graphics here, especially since every graphical
function There are a large number of options to make the production of graphics
very flexible.
The way graphical functions work goes far beyond the scheme Sketched
at the beginning of this document. In particular, the result of a graphical
function cannot be attributed to an object, but sent to a graphical device.
A graphical tool is a graphical window or file. There are
two types of graphical functions: high-level plotting functions that create a
new graph, and low-level plotting functions that create a new graph.
Add elements to the current graph. Graphs are made in
relation to Graphical parameters that are defined by default and can be
modified Equivalent function.
When a graphical function is executed, if no graphical
device opens, R1 opens Displays graphical windows and graphs. Can be open with
graphical tools An appropriate application. Depending on the list of available
graphical tools operating system.
Under Unix / Linux the graphical window is called X11 And
windows under the windows. In all cases, a graphical window may open With the
command x11 () which also works under Windows due to the alias Command Windows
side ().
A graphical tool that
contains a file Open with a function based on the format: PostScript (), PDF
(), PNG (), List of available graphical devices? Can match with the device. The
last open device becomes the active graphical device on which all Subsequent
graphs are displayed. The function dev.list () displays the list
SOME EXAMPLES OF R PROGRAMMING
*FIND THE FACTORIAL OF NUMBER
The dividend of a number is the product of all the integers
of that number from 1. For example, the factor of 6 (marked as 6) is 1 * 2 * 3
* 4 * 5 * 6 = 720.
Factorial is not defined for negative numbers and the
factorial of zero is one, 0! = 1.
This example usually looks for a number factor. However, you
can also find it using recurring.
# take input from the
user
num =
as.integer(readline(prompt="Enter a number: "))
factorial = 1
# check is the number
is negative, positive or zero
if(num < 0) {
print("Sorry,
factorial does not exist for negative numbers")
} else if(num == 0) {
print("The
factorial of 0 is 1")
} else {
for(i in 1:num) {
factorial = factorial
* i
}
print(paste("The
factorial of", num ,"is",factorial))
}
*CHECK THE PRIME NUMBER:
Any positive integer greater than 1 which has no factor
other than 1 and the number itself is called a prime number.
Numbers 2, 3, 5, 7, 11, 13 etc. are prime numbers because
they have no other factors.
However, 6 is not prime (it is combined) because, 2 x 3 = 6.
# Program to check if
the input number is prime or not
# take input from the
user
num =
as.integer(readline(prompt="Enter a number: "))
flag = 0
# prime numbers are
greater than 1
if(num > 1) {
# check for factors
flag = 1
for(i in 2:(num-1)) {
if ((num %% i) == 0)
{
flag = 0
break
}
}
}
if(num == 2) flag = 1
if(flag == 1) {
print(paste(num,"is
a prime number"))
} else {
print(paste(num,"is
not a prime number"))
}
FAQ
IS R PROGRAMMING IS BETTER THAN PYTHON
With unparalleled libraries for data research and
experimentation, R. programming is better suited for learning statistics.
Python is a better choice for machine learning
and large-scale applications, especially for data analysis
within web applications.
WHAT IS R PROGRAMMING USED FOR
R is a programming language for statistical computing and
graphics that you can use to clean, analyze and graph your data. It is widely
used by teachers of statistics and research methods to predict and display
results and by researchers in various disciplines.
WHAT DOES R IN R PROGRAMMING STANDS FOR
The programming language was named R, based on the
beginnings of two R writers (Robert Gentleman and Ross Ihaka), and partly a
play on Bell Labs Language S.
IS R PROGRAMMING HARD TO LEARN
R is known to be difficult to learn. This is largely because
R is very different from most programming languages. Unlike languages like
Python, the syntax of R is very difficult to read. ... Once you have mastered
the basics, you have the knowledge and mindset needed to explore more difficult
concepts.
CONCLUSION
R PROGRAMMING TRAINING IN DELHI is a programming
language and free software developed in 1993 by Ross Ihaka and Robert
Gentleman. R has an extensive list of statistics and graphical methods. This
includes machine learning algorithms, linear regression, time series, to name a
few numerical estimates. Most R libraries are written in R, but for heavy
computational tasks, C, C ++ and Fortran codes are preferred.
R is not only determined by academics, but many large
companies also use R programming language, including Uber, Google, Airbnb,
Facebook, etc.
R programming is an interpreted programming language that is
a software environment used for the analysis of statistical information,
graphical representation, reporting and data modeling. R is being used by
researchers, data analysts, statisticians and marketers to obtain, refine,
analyze, visualize and present data.
R Programming Training
in Delhi is one of the fastest growing languages and as far as adoption is
concerned, it has gone through a successful period of more than 25 years. This
breakthrough also reflects the potential for a brighter future for the R
programming language.
R is an open-source
equivalent, traditionally used in academia and research. Due to its open source
nature, the latest technologies are released faster than other data tools.
There are many documents available on the internet and this is a very cost
effective option for statistical analysis.
The fact that R is a language may prevent some users from
thinking "I can't program". This should not be for two reasons.
First, R is an explanation Language is not compiled, meaning that all commands
typed on the keyboard are executed directly without the need to build the
entire program.
Like most computer languages (C, Fortran, Pascal, ...).Second,
the syntax of R is very simple and intuitive. For example, a linear Regression
can be done with lm (y ~ x) command which means "fitting".
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