Use R!

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

Posted by insetes at Oct. 18, 2017
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

Nonlinear Regression with R (Use R!) (Repost)  eBooks & eLearning

Posted by insetes at Oct. 17, 2017
Nonlinear Regression with R (Use R!) (Repost)

Nonlinear Regression with R (Use R!) By Christian Ritz, Jens Carl Streibig
2008 | 150 Pages | ISBN: 0387096159 | PDF | 4 MB

XML and Web Technologies for Data Sciences with R (Use R!) [Repost]  eBooks & eLearning

Posted by hill0 at Sept. 14, 2017
XML and Web Technologies for Data Sciences with R (Use R!) [Repost]

XML and Web Technologies for Data Sciences with R (Use R!) by Deborah Nolan
English | 27 Jan. 2014 | ISBN: 1461478995 | 663 Pages | PDF | 14.17 MB

Web technologies are increasingly relevant to scientists working with data, for both accessing data and creating rich dynamic and interactive displays. The XML and JSON data formats are widely used in Web services,

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.

Guy Nason - Wavelet Methods in Statistics with R (Use R!) [Repost]  eBooks & eLearning

Posted by rotten comics at Nov. 25, 2016
Guy Nason - Wavelet Methods in Statistics with R (Use R!) [Repost]

Guy Nason - Wavelet Methods in Statistics with R (Use R!)
2008 | ISBN: 0387759603 | English | 259 pages | PDF | 5 MB

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.