Hadley Wickham Advanced R

R Packages  

Posted by nebulae at July 15, 2015
R Packages

Hadley Wickham, "R Packages"
English | ISBN: 1491910593 | 2015 | 202 pages | True PDF/EPUB | 13 MB

Advanced R  

Posted by roxul at Nov. 5, 2014
Advanced R

Hadley Wickham, "Advanced R"
English | ISBN: 1466586966 | 2014 | 476 pages | PDF | 4 MB

Advanced R/C Boat Modeling (Repost)  eBooks & eLearning

Posted by Oleksandr74 at March 14, 2016
Advanced R/C Boat Modeling (Repost)

John Finch - Advanced R/C Boat Modeling
Air Age | 2002 | ISBN: 0911295216 | English | 64 pages | PDF | 71.41 MB

Advanced R/C Boat Modeling (Repost)  

Posted by Oleksandr74 at March 9, 2012
Advanced R/C Boat Modeling (Repost)

John Finch - Advanced R/C Boat Modeling
Air Age | 2002 | ISBN: 0911295216 | English | 64 pages | PDF | 71.4 MB

R Packages  

Posted by AlenMiler at April 2, 2015
R Packages

R Packages by Hadley Wickham
English | Apr 16, 2015 | ISBN: 1491910593 | 202 Pages | AZW3/MOBI/EPUB/PDF (conv) | 10.5 MB

Turn your R code into packages that others can easily download and use. This practical book shows you how to bundle reusable R functions, sample data, and documentation together by applying author Hadley Wickham’s package development philosophy.

Up and Running with R (2013) [repost]  

Posted by house23 at March 22, 2014
Up and Running with R (2013) [repost]

Up and Running with R (2013)
MP4 | AVC 389kbps | English | 960x540 | 15fps | 2h 25mins | AAC stereo 128kbps | 523 MB
Genre: Video Training

Join author Barton Poulson as he introduces the R statistical processing language, including how to install R on your computer, read data from SPSS and spreadsheets, and use packages for advanced R functions. The course continues with examples on how to create charts and plots, check statistical assumptions and the reliability of your data, look for data outliers, and use other data analysis tools. Finally, learn how to get charts and tables out of R and share your results with presentations and web pages.

Up and Running with R  

Posted by Max-X at April 5, 2013
Up and Running with R

Up and Running with R
English | Team: N/A | .MP4 | h264, 960x540, 23.97 fps | aac, 44100 Hz, Stereo | 525 MB
Genre: eLearning

Join author Barton Poulson as he introduces the R statistical processing language, including how to install R on your computer, read data from SPSS and spreadsheets, and use packages for advanced R functions.
Carys Lane, Robin Blaze, The Clerk's Group, Edward Wickham - Ockeghem: Missa Au Travail Suis, Missa Sine Nomine a5 (2001)

Carys Lane, Robin Blaze, The Clerk's Group, Edward Wickham - Ockeghem: Missa Au Travail Suis, Missa Sine Nomine a5 (2001)
EAC | FLAC (image+.cue, log) | Covers + Digital Booklet | 54:44 | 314 MB
Genre: Sacred, Vocal, A capella | Label: AS&V "Gaudeamus" | Catalog: 215

The Franco-Flemish composer, Johannes Ockeghem, sang at Antwerp at the Bourbon court before joining the French royal chapel in 1451. Ockeghem spent most of his professional life at the French chapel and his output was quite prolific. He composed 14 settings of the Mass, including one of the earliest polyphonic versions of the Requiem. Ockeghem also composed numerous motets and secular songs. He was one of the most original voices in early Renaissance polyphony and his music dazzles with its ingenuity and beauty.
Experimental Characterization of Advanced Composite Materials, Fourth Edition (Repost)

Leif A. Carlsson, Donald F. Adams and R. Byron Pipes, "Experimental Characterization of Advanced Composite Materials, Fourth Edition"
English | 2014 | ISBN: 1439848580 | 379 pages | PDF | 29,6 MB

Learning Path: Intermediate Data Science with R  eBooks & eLearning

Posted by FenixN at Dec. 5, 2016
Learning Path: Intermediate Data Science with R

Learning Path: Intermediate Data Science with R
HDRips | MP4/AVC, ~757 kb/s | 1920х1080 / 1280x720 | Duration: 13:00:13 | English: AAC, 128 kb/s (2 ch)
Size: 4,78 GB | Genre: Development / Programming

The R programming language has arguably become the single most important tool for computational statistics, visualization, and data science. With this Learning Path, master all the features you'll need as a data scientist, from the basics to more advanced techniques including R Graph and machine learning. You'll work your data like never before.