R is a Multi-paradigm programming language designed by Ross Ihaka and Robert Gentleman. R programming language is also a software environment for statistical computing and graphics which was developed by R core team. The R course is commonly used in statisticians and miners to develop data analysis as well as statistical software. R language can be well understood by R course online.
The presentation is a brief case study of R Programming Language. In this, we discussed the scope of R, Uses of R, Advantages and Disadvantages of the R programming Language.
This presentation discusses the following topics:
Basic features of R
Exploring R GUI
Data Frames & Lists
Handling Data in R Workspace
Reading Data Sets & Exporting Data from R
Manipulating & Processing Data in R
R is a Multi-paradigm programming language designed by Ross Ihaka and Robert Gentleman. R programming language is also a software environment for statistical computing and graphics which was developed by R core team. The R course is commonly used in statisticians and miners to develop data analysis as well as statistical software. R language can be well understood by R course online.
The presentation is a brief case study of R Programming Language. In this, we discussed the scope of R, Uses of R, Advantages and Disadvantages of the R programming Language.
This presentation discusses the following topics:
Basic features of R
Exploring R GUI
Data Frames & Lists
Handling Data in R Workspace
Reading Data Sets & Exporting Data from R
Manipulating & Processing Data in R
This document serves as a type-and-run handout to an R learner.
It is not meant to serve as a formal language declaration or an exhaustive guide to R. Rather, its purpose is to provide a firm understanding of the building blocks of R so that the knowledge can be applied to various use cases.
A direct result of this approach is that many of the slides here will have illustrative examples that a user must type into the R console.
The R language is a project designed to create a free, open source language which can be used as a replacement for the S-PLUS language, originally developed as the S language at AT&T Bell Labs, and currently marketed by Insightful Corporation of Seattle, Washington. R is an open source implementation of S, and differs from S-plus largely in its command-line only format.
Topics Covered:
1.Introduction to R
2.Installing R
3.Why Learn R
4.The R Console
5.Basic Arithmetic and Objects
6.Program Example
7.Programming with Big Data in R
8.Big Data Strategies in R
9.Applications of R Programming
10.Companies Using R
11.What R is not so good at
12.Conclusion
Best corporate-r-programming-training-in-mumbaiUnmesh Baile
Vibrant Technologies is headquarted in Mumbai,India.We are the best Teradata training provider in Navi Mumbai who provides Live Projects to students.We provide Corporate Training also.We are Best Teradata Database classes in Mumbai according to our students and corporates
Basic of R Programming Language,
Introduction, How to run R, R Sessions and Functions, Basic Math, Variables, Data Types, Vectors, Conclusion, Advanced Data Structures, Data Frames, Lists, Matrices, Arrays, Classes
Basic of R Programming Language
R is a programming language and environment commonly used in statistical computing, data analytics and scientific research.
This document serves as a type-and-run handout to an R learner.
It is not meant to serve as a formal language declaration or an exhaustive guide to R. Rather, its purpose is to provide a firm understanding of the building blocks of R so that the knowledge can be applied to various use cases.
A direct result of this approach is that many of the slides here will have illustrative examples that a user must type into the R console.
The R language is a project designed to create a free, open source language which can be used as a replacement for the S-PLUS language, originally developed as the S language at AT&T Bell Labs, and currently marketed by Insightful Corporation of Seattle, Washington. R is an open source implementation of S, and differs from S-plus largely in its command-line only format.
Topics Covered:
1.Introduction to R
2.Installing R
3.Why Learn R
4.The R Console
5.Basic Arithmetic and Objects
6.Program Example
7.Programming with Big Data in R
8.Big Data Strategies in R
9.Applications of R Programming
10.Companies Using R
11.What R is not so good at
12.Conclusion
Best corporate-r-programming-training-in-mumbaiUnmesh Baile
Vibrant Technologies is headquarted in Mumbai,India.We are the best Teradata training provider in Navi Mumbai who provides Live Projects to students.We provide Corporate Training also.We are Best Teradata Database classes in Mumbai according to our students and corporates
Basic of R Programming Language,
Introduction, How to run R, R Sessions and Functions, Basic Math, Variables, Data Types, Vectors, Conclusion, Advanced Data Structures, Data Frames, Lists, Matrices, Arrays, Classes
Basic of R Programming Language
R is a programming language and environment commonly used in statistical computing, data analytics and scientific research.
In this presentation you will get to learn about the formats of SAS. Here I have discussed about the SAS defined format. in the next ppt I will share tutorial of User defined Format.
This presentation will explain how to sort data by using SAS. You will also get that how to remove duplicate observation from SAS Data Sets by using nodupkey/nodup options.
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...John Andrews
SlideShare Description for "Chatty Kathy - UNC Bootcamp Final Project Presentation"
Title: Chatty Kathy: Enhancing Physical Activity Among Older Adults
Description:
Discover how Chatty Kathy, an innovative project developed at the UNC Bootcamp, aims to tackle the challenge of low physical activity among older adults. Our AI-driven solution uses peer interaction to boost and sustain exercise levels, significantly improving health outcomes. This presentation covers our problem statement, the rationale behind Chatty Kathy, synthetic data and persona creation, model performance metrics, a visual demonstration of the project, and potential future developments. Join us for an insightful Q&A session to explore the potential of this groundbreaking project.
Project Team: Jay Requarth, Jana Avery, John Andrews, Dr. Dick Davis II, Nee Buntoum, Nam Yeongjin & Mat Nicholas
Explore our comprehensive data analysis project presentation on predicting product ad campaign performance. Learn how data-driven insights can optimize your marketing strategies and enhance campaign effectiveness. Perfect for professionals and students looking to understand the power of data analysis in advertising. for more details visit: https://bostoninstituteofanalytics.org/data-science-and-artificial-intelligence/
2. Introduction to R.
R is a programming language and software environment. R was created by Ross
Ihaka and Robert Gentleman at the University ofAuckland, New Zealand, and is
currently developed by the R Development CoreTeam.
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3. R is used for
o Statistical analysis
o Graphics representation
o Reporting
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4. As stated earlier, R is a programming language and software environment for
statistical analysis, graphics representation and reporting.The following are the
important features of R:
R is a well-developed, simple and effective programming language which includes
conditionals, loops, user defined recursive functions and input and output facilities.
R has an effective data handling and storage facility.
R provides a suite of operators for calculations on arrays, lists, vectors and
matrices.
R provides a large, coherent and integrated collection of tools for data analysis.
R provides graphical facilities for data analysis and display either directly at the
computer or printing at the papers.
Features of R
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5. R-Data Objects
In contrast to other programming languages like C and java in R, the variables are not
declared as some data type.The variables are assigned with R-Objects and the data type of
the R-object becomes the data type of the variable.There are many types of R-objects.The
frequently used ones are:
o Vectors
o Lists
o Matrices
o Arrays
o Factors
o Data Frames
The simplest of these objects is the 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.
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6. R-Data Types
In R programming,
the very basic data
types are the R-
objects called
vectors which hold
elements of
different classes as
shown beside.
Please note in R the
number of classes is
not confined to only
the six types
• DataType • Example
• Logical • True, False
• Numeric • 46.3, 958
• Integer • 2L.3L,45L
• Complex • 3+2i
• Character • ’a’, ’Good’, ’False’, ’56.9’
• Raw • “Hellow”
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7. Vectors
When you want to create vector with more than one
element, you should use c() function which means to
combine the elements into a vector.
# Create a vector.
orange <-c('orange','green',"yellow")
print(orange)
When we execute the above code, it produces the following
result:
[1] "orange" "green" "yellow"
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