R for Everyone: Advanced Analytics and Graphics (Record no. 45586)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 01705 a2200157 4500 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9789386873521 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 005.133 (R) LAN |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Lander, Jared P |
| 245 ## - TITLE STATEMENT | |
| Title | R for Everyone: Advanced Analytics and Graphics |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 2 |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Name of publisher, distributor, etc | Pearson |
| Place of publication, distribution, etc | Noida |
| Date of publication, distribution, etc | 2018 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 519 |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | Using the open source R language, you can build powerful statistical models to answer many of your most challenging questions. R has traditionally been difficult for non-statisticians to learn, and most R books assume far too much knowledge to be of help. R for Everyone, Second Edition, is the solution.<br/><br/>Drawing on his unsurpassed experience teaching new users, professional data scientist Jared P. Lander has written the perfect tutorial for anyone new to statistical programming and modeling. Organized to make learning easy and intuitive, this guide focuses on the 20 percent of R functionality you'll need to accomplish 80 percent of modern data tasks.<br/><br/>Lander's self-contained chapters start with the absolute basics, offering extensive hands-on practice and sample code. You'll download and install R; navigate and use the R environment; master basic program control, data import, manipulation, and visualization; and walk through several essential tests. Then, building on this foundation, you'll construct several complete models, both linear and nonlinear, and use some data mining techniques. After all this you'll make your code reproducible with LaTeX, RMarkdown, and Shiny.<br/><br/>By the time you're done, you won't just know how to write R programs, you'll be ready to tackle the statistical problems you care about most. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | R Programming Language |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | Book |
| Source of classification or shelving scheme | Dewey Decimal Classification |
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