Using R at The Bench

Statistics at the Bench: A Step-by-Step Handbook for Biologists (repost)  eBooks & eLearning

Posted by interes at Oct. 31, 2014
Statistics at the Bench: A Step-by-Step Handbook for Biologists (repost)

Statistics at the Bench: A Step-by-Step Handbook for Biologists by Rebecca W. Doerge, Martina Bremer
English | 2009 | ISBN: 0879698578 | 200 pages | scan PDF | 10,2 MB

Statistics at the Bench is a convenient bench-side companion for biologists, designed as a handy reference guide for elementary and intermediate statistical analyses. The expectations for biologists to have a more complete understanding of statistics are growing rapidly.

Statistics at the Bench: A Step-by-Step Handbook for Biologists (Repost)  eBooks & eLearning

Posted by nebulae at Jan. 25, 2014
Statistics at the Bench: A Step-by-Step Handbook for Biologists (Repost)

Rebecca W. Doerge, Martina Bremer, "Statistics at the Bench: A Step-by-Step Handbook for Biologists"
English | 2009 | ISBN: 0879698578 | 200 pages | PDF | 10,2 MB

Nonparametric Statistical Methods Using R (Repost)  eBooks & eLearning

Posted by DZ123 at Nov. 13, 2016
Nonparametric Statistical Methods Using R (Repost)

John Kloke, Joseph W. McKean, "Nonparametric Statistical Methods Using R"
English | 2014 | ISBN: 1439873437 | PDF | pages: 283 | 2.0 mb

Nonparametric Statistical Methods Using R (Repost)  eBooks & eLearning

Posted by insetes at Nov. 6, 2016
Nonparametric Statistical Methods Using R (Repost)

Nonparametric Statistical Methods Using R By John Kloke, Joseph W. McKean
2014 | 287 Pages | ISBN: 1439873437 | PDF | 2 MB

A Handbook of Statistical Analyses Using R (Repost)  eBooks & eLearning

Posted by leonardo78 at Oct. 30, 2016
A Handbook of Statistical Analyses Using R (Repost)

Brian S. Everitt, Torsten Hothorn, "A Handbook of Statistical Analyses Using R"
English | 2006-02-17 | ISBN: 1584885394 | 269 pages | PDF | 1,4 mb

R is dynamic, to say the least. More precisely, it is organic, with new functionality and add-on packages appearing constantly. And because of its open-source nature and free availability, R is quickly becoming the software of choice for statistical analysis in a variety of fields.

Introduction to Scientific Programming and Simulation Using R (Repost)  eBooks & eLearning

Posted by bookwarrior at July 30, 2016
Introduction to Scientific Programming and Simulation Using R (Repost)

Introduction to Scientific Programming and Simulation Using R By Owen Jones, Robert Maillardet, Andrew Robinson
2009 | 449 Pages | ISBN: 1420068725 | PDF | 8 MB

Applied Survival Analysis Using R  eBooks & eLearning

Posted by arundhati at July 21, 2016
Applied Survival Analysis Using R

Dirk F. Moore, "Applied Survival Analysis Using R"
2016 | ISBN-10: 331931243X | 240 pages | PDF | 3 MB

Nonparametric Statistical Methods Using R (Repost)  eBooks & eLearning

Posted by tukotikko at July 9, 2016
Nonparametric Statistical Methods Using R (Repost)

Nonparametric Statistical Methods Using R By John Kloke, Joseph W. McKean
2014 | 287 Pages | ISBN: 1439873437 | PDF | 2 MB

Introduction to Scientific Programming and Simulation Using R (Repost)  eBooks & eLearning

Posted by tukotikko at July 8, 2016
Introduction to Scientific Programming and Simulation Using R (Repost)

Introduction to Scientific Programming and Simulation Using R By Owen Jones, Robert Maillardet, Andrew Robinson
2009 | 449 Pages | ISBN: 1420068725 | PDF | 8 MB

Nonparametric Statistical Methods Using R (Repost)  eBooks & eLearning

Posted by bookwyrm at June 21, 2016
Nonparametric Statistical Methods Using R (Repost)

Nonparametric Statistical Methods Using R By John Kloke, Joseph W. McKean
2014 | 287 Pages | ISBN: 1439873437 | PDF | 2 MB