Use R Learling Data Matchine

Analyzing Compositional Data with R (Use R!) (repost)  eBooks & eLearning

Posted by hill0 at April 17, 2017
Analyzing Compositional Data with R (Use R!) (repost)

Analyzing Compositional Data with R (Use R!) by K. Gerald van den Boogaart
English | 9 July 2013 | ISBN: 3642368085 | 276 Pages | PDF | 3.86 MB

This book covers statistical analysis of compositional data sets from basic principles to applications in descriptive exploratory analysis, robust linear models and advanced multivariate statistical methods. Offers many illustrated examples and code chunks.

Seamless R and C++ Integration with Rcpp (Use R!)  eBooks & eLearning

Posted by hill0 at April 17, 2017
Seamless R and C++ Integration with Rcpp (Use R!)

Seamless R and C++ Integration with Rcpp (Use R!) by Dirk Eddelbuettel
English | 4 Jun. 2013 | ISBN: 1461468671 | 248 Pages | EPUB | 410.14 KB

Rcpp is the glue that binds the power and versatility of R with the speed and efficiency of C++. With Rcpp, the transfer of data between R and C++ is nearly seamless, and high-performance statistical computing is finally accessible to most R users. Rcpp should be part of every statistician's toolbox. – Michael Braun, MIT Sloan School of Management

R by Example (Use R!) (repost)  eBooks & eLearning

Posted by interes at Jan. 10, 2017
R by Example (Use R!) (repost)

R by Example (Use R!) by Jim Albert and Maria Rizzo
English | 2012 | ISBN-10: 1461413648 | PDF | 372 pages | 2,6 MB

Data Wrangling with R (Use R!)  eBooks & eLearning

Posted by hill0 at Dec. 17, 2016
Data Wrangling with R (Use R!)

Data Wrangling with R (Use R!) by Bradley C. Boehmke
English | 16 Dec. 2016 | ISBN: 3319455982 | 252 Pages | EPUB | 1.09 MB

This guide for practicing statisticians, data scientists, and R users and programmers will teach the essentials of preprocessing: data leveraging the R programming language to easily and quickly turn noisy data into usable pieces of information. Data wrangling, which is also commonly referred to as data munging, transformation, manipulation, janitor work, etc., can be a painstakingly laborious process.

R for Data Science Solutions  eBooks & eLearning

Posted by FenixN at Nov. 9, 2016
R for Data Science Solutions

R for Data Science Solutions
HDRips | MP4/AVC, ~421 kb/s | 1280x720 | Duration: 05:32:47 | English: AAC, 128 kb/s (2 ch) | 1.67 GB
Genre: Development / Programming / Software

Over 100 hands-on tasks to help you effectively solve real-world data problems using the most popular R packages and techniques

Introductory Time Series with R (Use R!) (Repost)  eBooks & eLearning

Posted by enmoys at May 31, 2016
Introductory Time Series with R (Use R!) (Repost)

Introductory Time Series with R (Use R!) By Paul S. P. Cowpertwait, Andrew Metcalfe
2009 | 262 Pages | ISBN: 0387886974 | PDF | 6 MB

R: Learn to Program in R & Use R for Effective Data Analysis  eBooks & eLearning

Posted by naag at Feb. 8, 2016
R: Learn to Program in R & Use R for Effective Data Analysis

R: Learn to Program in R & Use R for Effective Data Analysis
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 4.5 Hours | 304 MB
Genre: eLearning | Language: English

Go deeper into Data Analysis. Learn R—Google & Facebook employees use it to do data manipulation and management.

Meta-Analysis with R (Use R!)  eBooks & eLearning

Posted by tukotikko at Nov. 30, 2015
Meta-Analysis with R (Use R!)

Meta-Analysis with R (Use R!) By Guido Schwarzer, James R. Carpenter, Gerta Rücker
2015 | 264 Pages | ISBN: 3319214152 | PDF | 4 MB

Primer to Analysis of Genomic Data Using R (Use R!) (Repost)  eBooks & eLearning

Posted by bookwyrm at Oct. 1, 2015
Primer to Analysis of Genomic Data Using R (Use R!) (Repost)

Primer to Analysis of Genomic Data Using R (Use R!) By Cedric Gondro
2015 | 288 Pages | ISBN: 331914474X | PDF | 8 MB

A Primer of Ecology with R (Use R!) (Repost)  eBooks & eLearning

Posted by insetes at Sept. 24, 2015
A Primer of Ecology with R (Use R!) (Repost)

A Primer of Ecology with R (Use R!) By M. Henry Stevens
2009 | 420 Pages | ISBN: 0387898816 | PDF | 6 MB