Welcome to our book review site www.go-pdf.online!
You may have to Search all our reviewed books and magazines, click the sign up button below to create a free account.
R PROGRAMMING
Dr.R.GOPINATH, Associate Professor, Department of Computer Science and Engineering, K.S.Rangasamy College of Technology (Autonomous), Tiruchengode, Tamil Nadu, India. Dr.A.GNANABASKARAN, Professor, Department of Computer Science and Engineering, K.S.Rangasamy College of Technology (Autonomous), Tiruchengode, Tamil Nadu, India. Mr.P.SATHISHKUMAR, Associate Professor, Department of Computer Science and Engineering, K.S.Rangasamy College of Technology (Autonomous), Tiruchengode, Tamil Nadu, India. Mr.R.VIJAY SAI, Assistant Professor, Department of Computer Science and Engineering, K.S.Rangasamy College of Technology (Autonomous), Tiruchengode, Tamil Nadu, India.
R Programming
This book is written for statisticians, data analysts, programmers, researchers, professionals, and general consumers on how to perform different types of statistical data analysis for research purposes using R object-oriented programming language and RStudio integrated development environment (IDE). R is an open-source software with a development environment (RStudio) for computing statistics and graphical displays through data manipulation, modeling, and calculation. R packages and supported libraries provide a wide range of functions for programming and analyzing of data. Unlike many of the existing statistical software, R has the added benefit of allowing the users to write more efficien...
I & R Program Configuration
The Older Americans Act Amendments of 1973 require the establishment or maintenance of information and referral services within reasonably convenient access to all older Americans. Experience has demonstrated that information and referral services are not only essential to the linkage of older persons with resources essential to their wellbeing but, also, that they are potential sources of information for personnel charged with planning, coordinating, and evaluating community social services. I&R Program Configuration: A Guide for Statewide Planning has been prepared to assist States and other jurisdictions in determining the nature, location, staffing requirements, and other elements of information and referral services that will best meet the needs of their older populations.
Beginner's Guide for Data Analysis using R Programming
R programming is an efficient tool for statistical analysis of data. Data science has become critical to each field and the popularity of R is skyrocketing. Organization as large and diverse as Google, Facebook, Microsoft, Bank of America, Ford Motor Company, Mozilla, Thomas Cook, The New York Times, The National Weather Service, Twitter, ANZ Bank, Uber, Airbnb etc . have turned to R for reporting, analyzing and visualization of data, this book is for students and professionals of Mathematics, Statistics, Physics, Chemistry, Biology, Social Science and Medicine, Business, Engineering, Software, Information Technology, Sales, Bio Informatics, Pharmacy and any one, where data needs to be analyzed and represented graphically.
R Programming for Beginners
This book is an exploration of the R programming language. It begins by explaining to you the main uses of the R programming language and where it is normally applied. You are then guided on how to setup the programming environment, both on Windows and Linux. The various data types available in R are discussed, and you will learn how to define and use all of these. Variables, which are of great utility in any programming language are explored, thus, you will learn how to define variables in R. The R programming language supports decision-making. The various decision-making statements which are supported in this language are examined. Loops are also of great importance when we are drawing gra...
Using R for Data Analysis in Social Sciences
Using R for Data Analysis in Social Sciences offers a step-by-step guide on using free software R to conduct and reproduce published quantitative analysis. It walks readers through data preparation, visualization, analysis, and reporting. Test-used in undergraduate classes and student self-study, it is appropriate for any introductory course on R, data analysis, and empirical social-scientific research.
The Art of R Programming
R is the world's most popular language for developing statistical software: Archaeologists use it to track the spread of ancient civilizations, drug companies use it to discover which medications are safe and effective, and actuaries use it to assess financial risks and keep economies running smoothly. The Art of R Programming takes you on a guided tour of software development with R, from basic types and data structures to advanced topics like closures, recursion, and anonymous functions. No statistical knowledge is required, and your programming skills can range from hobbyist to pro. Along the way, you'll learn about functional and object-oriented programming, running mathematical simulati...
Unifying Theories of Programming
This book provides a synthesis of the theory of programming. It aims to use mathematical theory of programming to provide a similar basis for specification, design and implementation of programs. It is wide ranging both in its subject matter and also in its approach and style. The first five chapters justify and introduce the main concepts and methods to be used within the text, relating the goal of unification to the achievements of other branches of science and mathematics. The remaining chapters introduce more advanced programming language features one by one. The main methods of programming are summarised and concluded in a manner suitable for those already familiar with programming semantics. Definitions are accompanied by examples and the theorems by meticulous proof.
Making Your Case
This book introduces readers to R, a freely available statistical language, to conduct program evaluations. The book uses case studies to illustrate techniques that include data description and visualization, bivariate analysis, simple and multiple regression, and logistic regression. There is a comprehensive example using The Clinical Record as a data repository.
