in R

Beginning Data Science in R: Data Analysis, Visualization, and Modelling for the Data Scientist

Beginning Data Science in R: Data Analysis, Visualization, and Modelling for the Data Scientist by Thomas Mailund
English | 13 Mar. 2017 | ISBN: 1484226704 | 384 Pages | EPUB (True) | 2.78 MB
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Parametrische Statistik: Verteilungen, maximum likelihood und GLM in R (Statistik und ihre Anwendungen) by Carsten F. Dormann
German | 6 Sept. 2017 | ISBN: 3662546833 | 388 Pages | PDF | 5.27 MB

In dem einführenden Werk für Anwender werden alle klassischen Statistik-Methoden aus der beschreibenden Statistik, aus Verteilungen und Maximum-Likelihood-Methode abgeleitet. Beispiele machen komplexe Zusammenhänge verständlich und erleichtern die Umsetzung.

Parametrische Statistik: Verteilungen, Maximum Likelihood und GLM in R (repost)  eBooks & eLearning

Posted by hill0 at Sept. 13, 2017
Parametrische Statistik: Verteilungen, Maximum Likelihood und GLM in R (repost)

Parametrische Statistik: Verteilungen, Maximum Likelihood und GLM in R (Statistik und Ihre Anwendungen) (German Edition) by Carsten Dormann
German | 8 Feb. 2013 | ISBN: 3642347851 | 372 Pages | PDF | 4.38 MB

Beispielreich baut das Buch Schritt für Schritt die statistischen Grundlagen moderner Datenanalysen für Anwender auf. Dabei wird besonderer Wert auf einen roten Faden gelegt, der alle Methoden zusammenführt.
Advanced Object-Oriented Programming in R: Statistical Programming for Data Science, Analysis and Finance

Advanced Object-Oriented Programming in R: Statistical Programming for Data Science, Analysis and Finance by Thomas Mailund
English | 24 Jun. 2017 | ISBN: 1484229185 | 128 Pages | EPUB | 519.72 KB

Learn how to write object-oriented programs in R and how to construct classes and class hierarchies in the three object-oriented systems available in R.

Web analytics with hands on projects in R  eBooks & eLearning

Posted by naag at Sept. 4, 2017
Web analytics with hands on projects in R

Web analytics with hands on projects in R
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 3 Hours 12M | 655 MB
Genre: eLearning | Language: English

Discover Algorithms for Reward-Based Learning in R  eBooks & eLearning

Posted by naag at Aug. 26, 2017
Discover Algorithms for Reward-Based Learning in R

Discover Algorithms for Reward-Based Learning in R
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 2.5 Hours | 680 MB
Genre: eLearning | Language: English
Introduction to Statistics and Data Analysis: With Exercises, Solutions and Applications in R [Repost]

Introduction to Statistics and Data Analysis: With Exercises, Solutions and Applications in R by Christian Heumann
English | 20 Mar. 2017 | ISBN: 3319461605 | 472 Pages | PDF | 5.31 MB

This introductory statistics textbook conveys the essential concepts and tools needed to develop and nurture statistical thinking. It presents descriptive, inductive and explorative statistical

Lynda - Data Wrangling in R  eBooks & eLearning

Posted by U.N.Owen at Aug. 10, 2017
Lynda - Data Wrangling in R

Lynda - Data Wrangling in R
Size: 616 MB | Duration: 4h 13m | Video: AVC (.mp4) 1280x720 15&30fps | Audio: AAC 48KHz 2ch
Genre: eLearning | Level: Intermediate | Language: English

Tidy data is a data format that provides a standardized way of organizing data values within a dataset.

Statistical Disclosure Control for Microdata: Methods and Applications in R  eBooks & eLearning

Posted by ChrisRedfield at Aug. 9, 2017
Statistical Disclosure Control for Microdata: Methods and Applications in R

Matthias Templ - Statistical Disclosure Control for Microdata: Methods and Applications in R
Published: 2017-05-06 | ISBN: 3319502700 | PDF | 287 pages | 8.9 MB
Beginning Data Science in R: Data Analysis, Visualization, and Modelling for the Data Scientist [Repost]

Beginning Data Science in R: Data Analysis, Visualization, and Modelling for the Data Scientist by Thomas Mailund
English | 13 Mar. 2017 | ISBN: 1484226704 | 384 Pages | PDF | 6.46 MB

Discover best practices for data analysis and software development in R and start on the path to becoming a fully-fledged data scientist. This book teaches you techniques for both data manipulation and visualization and shows you the best way for developing new software packages for R.