R Language

Datascience with R Language  eBooks & eLearning

Posted by naag at May 3, 2018
Datascience with R Language

Datascience with R Language
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 9 Hours | Lec: 10 | 1 GB
Genre: eLearning | Language: English

R language
Geochemical Modelling of Igneous Processes - Principles And Recipes in R Language [Repost]

Geochemical Modelling of Igneous Processes - Principles And Recipes in R Language: Bringing the Power of R to a Geochemical Community (Springer Geochemistry) by Vojtech Janousek
English | 8 Oct. 2015 | ISBN: 3662467917 | 376 Pages | PDF | 7.93 MB

The aim of this book is to unlock the power of the freeware R language to advanced university students and researchers dealing with whole-rock geochemistry of (meta-) igneous rocks.

Geochemical Modelling of Igneous Processes - Principles And Recipes in R Language  eBooks & eLearning

Posted by tukotikko at Dec. 7, 2015
Geochemical Modelling of Igneous Processes - Principles And Recipes in R Language

Geochemical Modelling of Igneous Processes - Principles And Recipes in R Language: Bringing the Power of R to a Geochemical Community By Vojtech Janousek, Jean-Francois Moyen, Hervé Martin
2015 | 376 Pages | ISBN: 3662467917 | PDF | 9 MB

Statistics in R - The R Language for Statistical Analysis  eBooks & eLearning

Posted by naag at Nov. 22, 2015
Statistics in R - The R Language for Statistical Analysis

Statistics in R - The R Language for Statistical Analysis
MP4 | Video: 1280x720 | 57 kbps | 48 KHz | Duration: 3 Hours | 505 MB
Genre: eLearning | Language: English

Statistics made easy with the open source R language. Learn about Regression, Hypothesis tests, …
Introduction to Data Science with R: How to Manipulate, Visualize, and Model Data with the R Language

Introduction to Data Science with R: How to Manipulate, Visualize, and Model Data with the R Language
English | November 2014 | mp4 | H264 1920x1080 | AAC 1 ch 125 kbps | 4 hrs 26 min | 3.17 GB
eLearning

Beginning R: An Introduction to Statistical Programming (Repost)  eBooks & eLearning

Posted by step778 at May 29, 2018
Beginning R: An Introduction to Statistical Programming (Repost)

Larry Pace, "Beginning R: An Introduction to Statistical Programming"
2012 | pages: 337 | ISBN: 1430245549 | PDF | 11,1 mb

R for Data Analysis in easy steps - R Programming essentials  eBooks & eLearning

Posted by Grev27 at Feb. 22, 2018
R for Data Analysis in easy steps - R Programming essentials

Mike McGrath, "R for Data Analysis in easy steps - R Programming essentials"
English | ISBN: 1840787953 | 2018 | EPUB | 192 pages | 11 MB
R: Easy R Programming for Beginners, Your Step-By-Step Guide To Learning R Programming (R Programming Series)

R: Easy R Programming for Beginners, Your Step-By-Step Guide To Learning R Progr (R Programming Series) by Felix Alvaro
English | 1 May 2016 | ISBN: 1533685010 | 154 Pages | AZW3 | 2.15 MB

Beginning R: An Introduction to Statistical Programming (2nd edition) (Repost)  eBooks & eLearning

Posted by insetes at Jan. 8, 2018
Beginning R: An Introduction to Statistical Programming (2nd edition) (Repost)

Beginning R: An Introduction to Statistical Programming (2nd edition) By Larry Pace, Joshua Wiley
2015 | 356 Pages | ISBN: 1484203747 | PDF | 11 MB

Computerized Adaptive and Multistage Testing with R: Using Packages catR and mstR  eBooks & eLearning

Posted by AvaxGenius at Nov. 23, 2017
Computerized Adaptive and Multistage Testing with R: Using Packages catR and mstR

Computerized Adaptive and Multistage Testing with R: Using Packages catR and mstR By David Magis
English | PDF,EPUB | 2017 | 183 Pages | ISBN : 3319692178 | 2.98 MB

The goal of this guide and manual is to provide a practical and brief overview of the theory on computerized adaptive testing (CAT) and multistage testing (MST) and to illustrate the methodologies and applications using R open source language and several data examples. Implementation relies on the R packages catR and mstR that have been already or are being developed by the first author (with the team) and that include some of the newest research algorithms on the topic.