Posted by **FenixN** at Feb. 7, 2017

HDRips | MP4/AVC, ~720 kb/s | 1280x720 | Duration: 06:46:40 | English: AAC, 128 kb/s (2 ch) | 1.8 GB

A comprehensive guide to working on statistical data with the R language.

Posted by **interes** at Jan. 7, 2017

English | 2012 | ISBN: 1118122372 | 656 pages | scanned PDF | 38,7 MB

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

2016 | ISBN: 1118740653 | English | 504 pages | PDF | 10 MB

Posted by **interes** at Dec. 14, 2016

English | 2014 | ISBN: 0486780724 | 704 pages | EPUB | 26 MB

Posted by **roxul** at Dec. 1, 2016

2013 | ISBN: 0321888030 | English | 464 pages | EPUB | 17.55 MB

Posted by **Willson** at Dec. 1, 2016

English | 2015 | ISBN: 1482219751 | 524 pages | PDF | 9.6 MB

Posted by **house23** at Nov. 10, 2016

MP4 | AVC 928kbps | English | 1280x720 | 30fps | 11h 42mins | AAC stereo 60kbps | 3.79 GB

Learn to program statistical applications and Monte Carlo simulations with numerous "real-life" cases and R software.

Posted by **ParRus** at Nov. 10, 2016

WEBRip | English | MP4 | 1280 x 720 | AVC ~799 kbps | 30 fps

AAC | 64 Kbps | 44.1 KHz | 2 channels | 22:56:53 | 8.1 GB

The Comprehensive Programming in R Course is actually a combination of two R programming courses that together comprise a gentle, yet thorough introduction to the practice of general-purpose application development in the R environment. The original first course (Sections 1-8) consists of approximately 12 hours of video content and provides extensive example-based instruction on details for programming R data structures.

Posted by **house23** at Nov. 5, 2016

MP4 | AVC 470kbps | English | 1280x720 | 30fps | 17 hours | AAC stereo 59kbps | 2.68 GB

This course ensure quick learning in a simplified way. It explains the most important aspects of working on data and conduct analysis through example. You will start by learning how to install and navigate R studio. Learn Data/Object Types and Operations, Importing into R, and Loops and Conditions. you will be introduced to the use of R in Analytics, where you will learn a little about each object type in R and use that in Data Mining/Analytical Operations. learn the use of R in Statistics, using R to evaluate Descriptive Statistics, Probability Distributions, Hypothesis Testing, Linear Modeling, Generalized Linear Models, Non-Linear Regression, and Trees. Learn to create 2-dimensional Univariate and Multi-variate plots.

Posted by **roxul** at Oct. 1, 2016

English | ISBN: 0470280735 | 2008 | 416 pages | PDF | 11 MB