MARC details
| 000 -LEADER |
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| fixed length control field |
05303 a2200193 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
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| control field |
OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20170206182624.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
170206b xxu||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
978-93-5110-286-1 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
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| Classification number |
519.5 |
| Item number |
Gal |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
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| Personal name |
Cotton, Richard |
| 9 (RLIN) |
26125 |
| 245 ## - TITLE STATEMENT |
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| Title |
Learning R |
| Statement of responsibility, etc |
Cotton, Richard |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
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| Name of publisher, distributor, etc |
Shroff Publishing House |
| Date of publication, distribution, etc |
2015 |
| Place of publication, distribution, etc |
Mumbai |
| 300 ## - PHYSICAL DESCRIPTION |
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| Extent |
XIX, 377 |
| 505 ## - FORMATTED CONTENTS NOTE |
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| Formatted contents note |
The R Language<br/>Chapter 1 Introduction<br/>Chapter Goals<br/>What Is R?<br/>Installing R<br/>Choosing an IDE<br/>Your First Program<br/>How to Get Help in R<br/>Installing Extra Related Software<br/>Summary<br/>Test Your Knowledge: Quiz<br/>Test Your Knowledge: Exercises<br/>Chapter 2 A Scientific Calculator<br/>Chapter Goals<br/>Mathematical Operations and Vectors<br/>Assigning Variables<br/>Special Numbers<br/>Logical Vectors<br/>Summary<br/>Test Your Knowledge: Quiz<br/>Test Your Knowledge: Exercises<br/>Chapter 3 Inspecting Variables and Your Workspace<br/>Chapter Goals<br/>Classes<br/>Different Types of Numbers<br/>Other Common Classes<br/>Checking and Changing Classes<br/>Examining Variables<br/>The Workspace<br/>Summary<br/>Test Your Knowledge: Quiz<br/>Test Your Knowledge: Exercises<br/>Chapter 4 Vectors, Matrices, and Arrays<br/>Chapter Goals<br/>Vectors<br/>Matrices and Arrays<br/>Summary<br/>Test Your Knowledge: Quiz<br/>Test Your Knowledge: Exercises<br/>Chapter 5 Lists and Data Frames<br/>Chapter Goals<br/>Lists<br/>NULL<br/>Pairlists<br/>Data Frames<br/>Summary<br/>Test Your Knowledge: Quiz<br/>Test Your Knowledge: Exercises<br/>Chapter 6 Environments and Functions<br/>Chapter Goals<br/>Environments<br/>Functions<br/>Summary<br/>Test Your Knowledge: Quiz<br/>Test Your Knowledge: Exercises<br/>Chapter 7 Strings and Factors<br/>Chapter Goals<br/>Strings<br/>Factors<br/>Summary<br/>Test Your Knowledge: Quiz<br/>Test Your Knowledge: Exercises<br/>Chapter 8 Flow Control and Loops<br/>Chapter Goals<br/>Flow Control<br/>Loops<br/>Summary<br/>Test Your Knowledge: Quiz<br/>Test Your Knowledge: Exercises<br/>Chapter 9 Advanced Looping<br/>Chapter Goals<br/>Replication<br/>Looping Over Lists<br/>Looping Over Arrays<br/>Multiple-Input Apply<br/>Split-Apply-Combine<br/>The plyr Package<br/>Summary<br/>Test Your Knowledge: Quiz<br/>Test Your Knowledge: Exercises<br/>Chapter 10 Packages<br/>Chapter Goals<br/>Loading Packages<br/>Installing Packages<br/>Maintaining Packages<br/>Summary<br/>Test Your Knowledge: Quiz<br/>Test Your Knowledge: Exercises<br/>Chapter 11 Dates and Times<br/>Chapter Goals<br/>Date and Time Classes<br/>Conversion to and from Strings<br/>Time Zones<br/>Arithmetic with Dates and Times<br/>Lubridate<br/>Summary<br/>Test Your Knowledge: Quiz<br/>Test Your Knowledge: Exercises<br/>The Data Analysis Workflow<br/>Chapter 12 Getting Data<br/>Chapter Goals<br/>Built-in Datasets<br/>Reading Text Files<br/>Reading Binary Files<br/>Web Data<br/>Accessing Databases<br/>Summary<br/>Test Your Knowledge: Quiz<br/>Test Your Knowledge: Exercises<br/>Chapter 13 Cleaning and Transforming<br/>Chapter Goals<br/>Cleaning Strings<br/>Manipulating Data Frames<br/>Sorting<br/>Functional Programming<br/>Summary<br/>Test Your Knowledge: Quiz<br/>Test Your Knowledge: Exercises<br/>Chapter 14 Exploring and Visualizing<br/>Chapter Goals<br/>Summary Statistics<br/>The Three Plotting Systems<br/>Scatterplots<br/>Line Plots<br/>Histograms<br/>Box Plots<br/>Bar Charts<br/>Other Plotting Packages and Systems<br/>Summary<br/>Test Your Knowledge: Quiz<br/>Test Your Knowledge: Exercises<br/>Chapter 15 Distributions and Modeling<br/>Chapter Goals<br/>Random Numbers<br/>Distributions<br/>Formulae<br/>A First Model: Linear Regressions<br/>Other Model Types<br/>Summary<br/>Test Your Knowledge: Quiz<br/>Test Your Knowledge: Exercises<br/>Chapter 16 Programming<br/>Chapter Goals<br/>Messages, Warnings, and Errors<br/>Error Handling<br/>Debugging<br/>Testing<br/>Magic<br/>Object-Oriented Programming<br/>Summary<br/>Test Your Knowledge: Quiz<br/>Test Your Knowledge: Exercises<br/>Chapter 17 Making Packages<br/>Chapter Goals<br/>Why Create Packages?<br/>Prerequisites<br/>The Package Directory Structure<br/>Your First Package<br/>Documenting Packages<br/>Checking and Building Packages<br/>Maintaining Packages<br/>Summary<br/>Test Your Knowledge: Quiz<br/>Test Your Knowledge: Exercises<br/>Appendixes<br/>Appendix Properties of Variables<br/>Appendix Other Things to Do in R<br/>Appendix Answers to Quizzes<br/>Appendix Solutions to Exercises<br/>Appendix Bibliography |
| 520 ## - SUMMARY, ETC. |
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| Summary, etc |
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.<br/><br/>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.<br/>Write a simple R program, and discover what the language can do<br/>Use data types such as vectors, arrays, lists, data frames, and strings<br/>Execute code conditionally or repeatedly with branches and loops<br/>Apply R add-on packages, and package your own work for others<br/>Learn how to clean data you import from a variety of sources<br/>Understand data through visualization and summary statistics<br/>Use statistical models to pass quantitative judgments about data and make predictions<br/>Learn what to do when things go wrong while writing data analysis code |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name as entry element |
R (Computer programm language), statistics- data processing, mathematical statistics- data processing |
| 9 (RLIN) |
26126 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
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| Source of classification or shelving scheme |
Dewey Decimal Classification |
| Koha item type |
Book |
