in R

Regression Analysis and Hypothesis Testing in R  eBooks & eLearning

Posted by naag at Jan. 12, 2018
Regression Analysis and Hypothesis Testing in R

Regression Analysis and Hypothesis Testing in R
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 48M | 396 MB
Genre: eLearning | Language: English

A Data Scientist's Guide to Acquiring, Cleaning, and Managing Data in R  eBooks & eLearning

Posted by arundhati at Nov. 24, 2017
A Data Scientist's Guide to Acquiring, Cleaning, and Managing Data in R

Samuel E. Buttrey and Lyn R. Whitaker, "A Data Scientist's Guide to Acquiring, Cleaning, and Managing Data in R"
2018 | ISBN-10: 1119080029 | 312 pages | EPUB | 1 MB

Functional Data Structures in R: Advanced Statistical Programming in R  eBooks & eLearning

Posted by AvaxGenius at Nov. 17, 2017
Functional Data Structures in R: Advanced Statistical Programming in R

Functional Data Structures in R: Advanced Statistical Programming in R By Thomas Mailund
English | PDF,EPUB | 2017 | 262 Pages | ISBN : 1484231430 | 5.36MB

Get an introduction to functional data structures using R and write more effective code and gain performance for your programs. This book teaches you workarounds because data in functional languages is not mutable: for example you’ll learn how to change variable-value bindings by modifying environments, which can be exploited to emulate pointers and implement traditional data structures.

Graphs in R - Data Visualization with R Programming Language  eBooks & eLearning

Posted by naag at Nov. 14, 2017
Graphs in R - Data Visualization with R Programming Language

Graphs in R - Data Visualization with R Programming Language
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 5 Hours | Lec: 46 | 727 MB
Genre: eLearning | Language: English

Convincing R graphs using ggplot 2, lattice, plotrix & base. Use the powerful R language to create vivid visualizations

A Data Scientist's Guide to Acquiring, Cleaning, and Managing Data in R  eBooks & eLearning

Posted by roxul at Nov. 11, 2017
A Data Scientist's Guide to Acquiring, Cleaning, and Managing Data in R

Samuel E. Buttrey and Lyn R. Whitaker, "A Data Scientist's Guide to Acquiring, Cleaning, and Managing Data in R"
English | ISBN: 1119080029 | 2018 | 312 pages | PDF | 2 MB
Nonparametric Hypothesis Testing: Rank and Permutation Methods with Applications in R (repost)

Nonparametric Hypothesis Testing: Rank and Permutation Methods with Applications in R by Stefano Bonnini, Livio Corain, Marco Marozzi and Luigi Salmaso
English | 2014 | ISBN: 1119952379 | ISBN-13: 9781119952374 | 240 pages | PDF | 2 MB

TTC Video - Learning Statistics: Concepts and Applications in R  eBooks & eLearning

Posted by IrGens at Oct. 9, 2017
TTC Video - Learning Statistics: Concepts and Applications in R

TTC Video - Learning Statistics: Concepts and Applications in R
Course No. 1480 | .MP4, AVC, 1100 kbps, 856x480 | English, AAC, 192 kbps, 2 Ch | 24x30 mins | + PDF Guidebook | 8.5 GB
Lecturer: Talithia Williams, Ph.D.

Statistik in Theorie und Praxis: Mit Anwendungen in R (Repost)  eBooks & eLearning

Posted by insetes at Jan. 2, 2018
Statistik in Theorie und Praxis: Mit Anwendungen in R (Repost)

Statistik in Theorie und Praxis: Mit Anwendungen in R By Michael Falk, Johannes Hain, Frank Marohn, Hans Fischer, René Michel
2014 | 507 Pages | ISBN: 3642552528 | PDF | 12 MB
Parametrische Statistik: Verteilungen, maximum likelihood und GLM in R (2nd Edition)

Parametrische Statistik: Verteilungen, maximum likelihood und GLM in R (2nd Edition) by Carsten F. Dormann
German | 2017 | ISBN: 3662546833 | 363 Pages | PDF | 12.6 MB

In dem einführenden Werk für Anwender werden alle klassischen Statistik-Methoden aus der beschreibenden Statistik, aus Verteilungen und Maximum-Likelihood-Methode abgeleitet.

Learn By Example - Statistics and Data Science in R  eBooks & eLearning

Posted by naag at Dec. 25, 2017
Learn By Example - Statistics and Data Science in R

Learn By Example - Statistics and Data Science in R
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 9 Hours | 9.32 GB
Genre: eLearning | Language: English