Posted by **naag** at March 15, 2016

MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 2.5 Hours | 816 MB

Statistical analyses using the R program

Posted by **naag** at March 15, 2016

MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 2 Hours | 1.44 GB

Advanced statistical analyses using the R program

Posted by **naag** at May 30, 2016

MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 3 Hours | 1.96 GB

Basic statistical analyses using the R program

Posted by **igor_lv** at April 8, 2019

English | 2016 | ISBN: 1119152720 | EPUB | 692 pages | 15 Mb

Posted by **Rare-1** at Oct. 16, 2016

English | ISBN: 1498712363 | 2015 | PDF | 240 pages | 2.76 MB

Posted by **TimMa** at Feb. 6, 2019

CRC | 2016 | ISBN: 1466504390 | English | True PDF | 967 pages | 15.5 MB

Cohesively Incorporates Statistical Theory with R Implementation.

Since the publication of the popular first edition of this comprehensive textbook, the contributed R packages on CRAN have increased from around 1,000 to over 6,000. Designed for an intermediate undergraduate course, Probability and Statistics with R, Second Edition explores how some of these new packages make analysis easier and more intuitive as well as create more visually pleasing graphs. …

Posted by **interes** at June 20, 2017

English | 2008 | ISBN: 1584888911 | 726 pages | PDF | 9,4 MB

Posted by **AlexGolova** at Oct. 8, 2018

English | July 6, 2015 | ISBN: 9781498712361 | 248 pages | PDF | 2.76 MB

Posted by **leonardo78** at Jan. 31, 2016

Publisher: Springer | 2008 | ISBN-13: 0387790535 | 364 pages | PDF | 5,1 MB

This book provides an elementary-level introduction to R, targeting both non-statistician scientists in various fields and students of statistics. The main mode of presentation is via code examples with liberal commenting of the code and the output, from the computational as well as the statistical viewpoint. Brief sections introduce the statistical methods before they are used.

Posted by **AvaxGenius** at Oct. 3, 2018

English | True PDF | 2008 | 370 Pages | ISBN : 0387790535 | 2.9 MB

R is an Open Source implementation of the S language. It works on multiple computing platforms and can be freely downloaded. R is now in widespread use for teaching at many levels as well as for practical data analysis and methodological development.