| 000 | 02372nam a22003617a 4500 | ||
|---|---|---|---|
| 001 | sulb-eb0015829 | ||
| 003 | BD-SySUS | ||
| 005 | 20160405134446.0 | ||
| 008 | 111109s2010||||enk o ||1 0|eng|d | ||
| 020 | _a9781139194648 (ebook) | ||
| 020 | _z9780521762939 (hardback) | ||
| 040 |
_aUkCbUP _beng _erda _cUkCbUP |
||
| 050 | 0 | 0 |
_aQA276.4 _b.M245 2010 |
| 082 | 0 | 0 |
_a519.50285 _222 |
| 100 | 1 |
_aMaindonald, John, _eauthor. |
|
| 245 | 1 | 0 |
_aData Analysis and Graphics Using R : _bAn Example-Based Approach / _cJohn Maindonald, W. John Braun. |
| 246 | 3 | _aData Analysis & Graphics Using R | |
| 250 | _a3rd ed. | ||
| 264 | 1 |
_aCambridge : _bCambridge University Press, _c2010. |
|
| 300 |
_a1 online resource (549 pages) : _bdigital, PDF file(s). |
||
| 336 |
_atext _btxt _2rdacontent |
||
| 337 |
_acomputer _bc _2rdamedia |
||
| 338 |
_aonline resource _bcr _2rdacarrier |
||
| 490 | 0 |
_aCambridge Series in Statistical and Probabilistic Mathematics ; _v10 |
|
| 500 | _aTitle from publisher's bibliographic system (viewed on 04 Apr 2016). | ||
| 520 | _aDiscover what you can do with R! Introducing the R system, covering standard regression methods, then tackling more advanced topics, this book guides users through the practical, powerful tools that the R system provides. The emphasis is on hands-on analysis, graphical display, and interpretation of data. The many worked examples, from real-world research, are accompanied by commentary on what is done and why. The companion website has code and datasets, allowing readers to reproduce all analyses, along with solutions to selected exercises and updates. Assuming basic statistical knowledge and some experience with data analysis (but not R), the book is ideal for research scientists, final-year undergraduate or graduate-level students of applied statistics, and practising statisticians. It is both for learning and for reference. This third edition expands upon topics such as Bayesian inference for regression, errors in variables, generalized linear mixed models, and random forests. | ||
| 650 | 0 | _aR (Computer program language) | |
| 700 | 1 |
_aBraun, W. John, _eauthor. |
|
| 776 | 0 | 8 |
_iPrint version: _z9780521762939 |
| 830 | 0 |
_aCambridge Series in Statistical and Probabilistic Mathematics ; _v10. |
|
| 856 | 4 | 0 | _uhttp://dx.doi.org/10.1017/CBO9781139194648 |
| 942 |
_2Dewey Decimal Classification _ceBooks |
||
| 999 |
_c37673 _d37673 |
||