Regression Using r

Modern Regression Techniques Using R: A Practical Guide for Students and Researchers (repost)

Modern Regression Techniques Using R: A Practical Guide for Students and Researchers by Daniel B. Wright and Kamala London
English | ISBN: 1847879020, 1847879039 | 2009 | 216 pages | PDF | 2,4 MB

Regression, Data Mining, Text Mining, Forecasting using R  eBooks & eLearning

Posted by naag at May 20, 2017
Regression, Data Mining, Text Mining, Forecasting using R

Regression, Data Mining, Text Mining, Forecasting using R
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 32 Hours | Lec: 169 | 4.12 GB
Genre: eLearning | Language: English

Learn Regression Techniques, Data Mining, Forecasting, Text Mining using R

Reasoning with Data: An Introduction to Traditional and Bayesian Methods Using R  eBooks & eLearning

Posted by AlenMiler at May 2, 2017
Reasoning with Data: An Introduction to Traditional and Bayesian Methods Using R

Reasoning with Data: An Introduction to Traditional and Bayesian Methods Using R by Jeffrey M. Stanton
English | 16 Jun. 2017 | ISBN: 1462530273, 1462530265 | 325 Pages | PDF | 6.18 MB

Growth Curve Analysis and Visualization Using R (repost)  eBooks & eLearning

Posted by libr at April 17, 2017
Growth Curve Analysis and Visualization Using R (repost)

Growth Curve Analysis and Visualization Using R by Daniel Mirman
English | 2014 | ISBN: 1466584327 | ISBN-13: 9781466584327 | 188 pages | PDF | 1,8 MB

Lynda - Learning Logistic Regression in R and Excel  eBooks & eLearning

Posted by U.N.Owen at Feb. 3, 2017
Lynda - Learning Logistic Regression in R and Excel

Lynda - Learning Logistic Regression in R and Excel
Size: 249 MB | Duration: 1h 37m | Video: AVC (.mp4) 1280x720 15&30fps | Audio: AAC 48KHz 2ch
Genre: eLearning | Level: Advanced | Language: English

Generate forecasts quickly using R and be able to support and defend your projections with Excel.

Business Analytics Using R - A Practical Approach  eBooks & eLearning

Posted by naag at Jan. 23, 2017
Business Analytics Using R - A Practical Approach

Business Analytics Using R - A Practical Approach by Umesh Hodeghatta Rao
English | 5 Feb. 2017 | ISBN: 1484225139 | 266 Pages | PDF | 14.52 MB

Lynda - Healthcare Analytics: Regression in R  eBooks & eLearning

Posted by U.N.Owen at Jan. 19, 2017
Lynda - Healthcare Analytics: Regression in R

Lynda - Healthcare Analytics: Regression in R
Size: 520 MB | Duration: 4h 2m | Video: AVC (.mp4) 1280x720 30fps | Audio: AAC 48KHz 2ch
Genre: eLearning | Level: Advanced | Language: English

Linear and logistic regression models can be created using R, the open-source statistical computing software.

Nonparametric Statistical Methods Using R (Repost)  eBooks & eLearning

Posted by DZ123 at Nov. 13, 2016
Nonparametric Statistical Methods Using R (Repost)

John Kloke, Joseph W. McKean, "Nonparametric Statistical Methods Using R"
English | 2014 | ISBN: 1439873437 | PDF | pages: 283 | 2.0 mb

Nonparametric Statistical Methods Using R (Repost)  eBooks & eLearning

Posted by insetes at Nov. 6, 2016
Nonparametric Statistical Methods Using R (Repost)

Nonparametric Statistical Methods Using R By John Kloke, Joseph W. McKean
2014 | 287 Pages | ISBN: 1439873437 | PDF | 2 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.