Learning R

Author: Richard Cotton
Publisher: "O'Reilly Media, Inc."
ISBN: 1449357199
Size: 51.19 MB
Format: PDF, Mobi
View: 4645
Learn how to perform data analysis with the R language and software environment, even if you have little or no programming experience. With the tutorials in this hands-on guide, you’ll learn how to use the essential R tools you need to know to analyze data, including data types and programming concepts. The second half of Learning R shows you real data analysis in action by covering everything from importing data to publishing your results. Each chapter in the book includes a quiz on what you’ve learned, and concludes with exercises, most of which involve writing R code. Write a simple R program, and discover what the language can do Use data types such as vectors, arrays, lists, data frames, and strings Execute code conditionally or repeatedly with branches and loops Apply R add-on packages, and package your own work for others Learn how to clean data you import from a variety of sources Understand data through visualization and summary statistics Use statistical models to pass quantitative judgments about data and make predictions Learn what to do when things go wrong while writing data analysis code

R Programming An Approach To Data Analytics

Author: G. Sudhamathy, C. Jothi Venkateswaran
Publisher: MJP Publisher
Size: 42.67 MB
Format: PDF, Kindle
View: 7685
Chapter 1 - Basics of R, Chapter 2 - Data Types in R , Chapter 3 - Data Preparation. Chapter 4 - Graphics using R, Chapter 5 - Statistical Analysis Using R, Chapter 6 - Data Mining Using R, Chapter 7 - Case Studies. Huge volumes of data are being generated by many sources like commercial enterprises, scientific domains and general public daily. According to a recent research, data production will be 44 times greater in 2020 than it was in 2010. Data being a vital resource for business organizations and other domains like education, health, manufacturing etc., its management and analysis is becoming increasingly important. This data, due to its volume, variety and velocity, often referred to as Big Data, also includes highly unstructured data in the form of textual documents, web pages, graphical information and social media comments. Since Big Data is characterised by massive sample sizes, high dimensionality and intrinsic heterogeneity, traditional approaches to data management, visualisation and analytics are no longer satisfactorily applicable. There is therefore an urgent need for newer tools, better frameworks and workable methodologies for such data to be appropriately categorised, logically segmented, efficiently analysed and securely managed. This requirement has resulted in an emerging new discipline of Data Science that is now gaining much attention with researchers and practitioners in the field of Data Analytics.

Essential First Steps To Data Analysis

Author: Carol S. Parke
Publisher: SAGE
ISBN: 1412997518
Size: 46.29 MB
Format: PDF, ePub
View: 5146
Carol S. Parke's Essential First Steps to Data Analysis: Scenario-Based Examples Using SPSS provides instruction and guidance on preparing quantitative data sets prior to answering a study's research questions. Such preparation may involve data management and manipulation tasks, data organization, structural changes to the data files, or conducting preliminary analysis. Twelve research-based scenarios are used to present the content. Each scenario tells the "story" of a researcher who thoroughly examined their data and the decisions they made along the way. The scenario begins with a description of the researcher's study and his/her data file(s), then describes the issues the researcher must address, explains why they are important, shows how SPSS was used to address the issues and prepare data, and shares the researcher's reflections and any additional decision-making. Finally, each scenario ends with the researcher's written summary of the procedures and outcomes from the initial data preparation or analysis.

Management And Business Research

Author: Mark Easterby-Smith
Publisher: SAGE
ISBN: 147392765X
Size: 16.16 MB
Format: PDF, Docs
View: 7626
Now in its Fifth Edition, this much-loved text offers theoretical and philosophical depth as well as insights into practice. The text covers the entire research process in an accessible way and provides critical, thoughtful treatment of important issues like ethics and politics, making it an invaluable companion for any business and management student New to the Fifth Edition: Expanded to include examples from across business and management including Marketing, International Business and Psychology Up-to-date, international examples and cases from a range of countries Introductory chapter looks at writing proposals in detail Chapter on the literature review now includes how to critically review Move towards new technologies and social media including discussion of wikis and cloud sourcing Improved structure and flow, with three chapters on qualitative methods and three on quantitative methods Additional practical exercises which are linked to key research tasks throughout The companion website (https://edge.sagepub.com/easterbysmith) offers a wealth of resources for both lecturers and students including, for lecturers, an instructor's manual and PowerPoint slides and, for students, author podcasts, journal articles, web links, MCQs, datasets and a glossary.

The Software Encyclopedia

Publisher: R. R. Bowker
ISBN: 9780835237352
Size: 45.41 MB
Format: PDF
View: 2686
"..the standard reference in the field."--REFERENCE & RESEARCH BOOK NEWS. "The most extensive & up-to-date listing available to software packages...Essential to anyone who owns a microcomputer."--COMPUTER DAILY. This unmatched guide provides fully annotated listings for over 18,000 new & established software programs - in every format, from disk to CD-ROM--letting you pinpoint compatible programs quickly & easily. It indexes entries two ways: by title, & by compatible system & application.