r Studio

Reproducible Research with R and R Studio (2nd edition)  eBooks & eLearning

Posted by enmoys at June 1, 2016
Reproducible Research with R and R Studio (2nd edition)

Reproducible Research with R and R Studio (2nd edition) By Christopher Gandrud
2015 | 323 Pages | ISBN: 1498715370 | PDF | 4 MB

Understanding Statistics Using R  eBooks & eLearning

Posted by hill0 at April 19, 2017
Understanding Statistics Using R

Understanding Statistics Using R by Randall Schumacker
English | 24 Jan. 2013 | ISBN: 1461462266 | 308 Pages | EPUB | 1.19 MB

This book was written to provide resource materials for teachers to use in their introductory or intermediate statistics class. The chapter content is ordered along the lines of many popular statistics books so it should be easy to supplement the content and exercises with class lecture materials.

Introduction to R Programming  eBooks & eLearning

Posted by FenixN at Jan. 9, 2017
Introduction to R Programming

Introduction to R Programming
HDRips | MP4/AVC, ~461 kb/s | 1280x720 | Duration: 03:46:46 | English: AAC, 128 kb/s (2 ch) | 922 MB
Genre: Development / Programming

Practice and apply R programming concepts for effective statistical and data analysis

Understanding Statistics Using R [Repost]  eBooks & eLearning

Posted by ChrisRedfield at Dec. 13, 2015
Understanding Statistics Using R [Repost]

Sara Tomek - Understanding Statistics Using R
Published: 2013-01-24 | ISBN: 1461462266, 1489996907 | PDF | 292 pages | 3.09 MB

Udemy – R - Business Analytics Using R Programming  eBooks & eLearning

Posted by naag at July 27, 2015
Udemy – R - Business Analytics Using R Programming

Udemy – R - Business Analytics Using R Programming
MP4 | Video: 1280x720 | 59 kbps | 44 KHz | Duration: 17 Hours | 2.68 GB
Genre: eLearning | Language: English

Use the R Programming to execute Business analytic, Data Science, Data Mining, Statistics Projects

Udemy – R Programming - Learn R from Scratch  eBooks & eLearning

Posted by naag at July 13, 2015
Udemy – R Programming - Learn R from Scratch

Udemy – R Programming - Learn R from Scratch
MP4 | Video: 1280x720 | 59 kbps | 44 KHz | Duration: 6 Hours | 712 MB
Genre: eLearning | Language: English

Learn the core fundamentals of the R language for programming. Fundamentals to Advanced

Getting Started with Machine Learning with R  eBooks & eLearning

Posted by naag at April 1, 2017
Getting Started with Machine Learning with R

Getting Started with Machine Learning with R
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 1 Hours 20M | 322 MB
Genre: eLearning | Language: English

Statistical Analysis with R For Dummies  eBooks & eLearning

Posted by Bayron at March 25, 2017
Statistical Analysis with R For Dummies

Statistical Analysis with R For Dummies by Joseph Schmuller
English | 2017 | ISBN: 1119337062 | 465 pages | EPUB | 4 MB

Statistical Analysis with R For Dummies (For Dummies (Computer/Tech)) [Kindle Edition]  eBooks & eLearning

Posted by AlenMiler at March 10, 2017
Statistical Analysis with R For Dummies (For Dummies (Computer/Tech)) [Kindle Edition]

Statistical Analysis with R For Dummies (For Dummies (Computer/Tech)) by Joseph Schmuller
English | 3 Mar. 2017 | ASIN: B06XGNPTL6 | 456 Pages | AZW3 | 4.8 MB

Udemy - R - Business Analytics Using R Programming [repost]  eBooks & eLearning

Posted by house23 at Nov. 5, 2016
Udemy - R - Business Analytics Using R Programming [repost]

Udemy - R - Business Analytics Using R Programming
MP4 | AVC 470kbps | English | 1280x720 | 30fps | 17 hours | AAC stereo 59kbps | 2.68 GB
Genre: Video Training

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.