Posted by **First1** at Dec. 9, 2017

English | November 29th, 2010 (2011 Edition) | ASIN: B008P5BJIO, ISBN: 141297514X | 344 Pages | EPUB | 12.49 MB

This is a broad introduction to the R statistical computing environment in the context of applied regression analysis. It is a thoroughly updated edition of John Fox’s bestselling text An R and S-Plus Companion to Applied Regression (SAGE, 2002). The Second Edition is intended as a companion to any course on modern applied regression analysis.

Posted by **arundhati** at Sept. 2, 2017

2011 | ISBN-10: 141297514X | 472 pages | PDF | 23 MB

Posted by **step778** at April 7, 2016

2002 | pages: 325 | ISBN: 0761922792 | PDF | 66,4 mb

Posted by **AlenMiler** at Oct. 15, 2014

Chapman and Hall/CRC; 1 edition | October 19, 2011 | English | ISBN: 1439873658 | 372 pages | PDF | 2 MB

Focusing on user-developed programming, An R Companion to Linear Statistical Models serves two audiences: those who are familiar with the theory and applications of linear statistical models and wish to learn or enhance their skills in R; and those who are enrolled in an R-based course on regression and analysis of variance.

Posted by **nebulae** at Dec. 27, 2013

English | 2011 | ISBN-10: 1439873658 | PDF | 372 pages | 2,5 MB

Posted by **ChrisRedfield** at Dec. 6, 2017

Published: 2003-02-10 | ISBN: 052152153X | PDF | 212 pages | 2.09 MB

Posted by **arundhati** at April 22, 2017

2015 | ISBN-10: 1606506617 | 180 pages | PDF | 5 MB

Posted by **ksveta6** at Dec. 29, 2016

2016 | ISBN: 1118869133 | English | 664 pages | PDF | 3 MB

Posted by **arundhati** at Oct. 28, 2016

2016 | ISBN-10: 1941631029 | 288 pages | PDF | 11 MB

Posted by **roxul** at Jan. 12, 2016

English | 2015 | ISBN-10: 0691150397 | 1016 pages | PDF | 42 MB