Explore Books on
r (langage de programmation)

Reproducible Research with R and RStudio

By Christopher Gandrud

Extending the Linear Model with R

By Julian J. Faraway

R for Programmers

By Dan Zhang

The R Book

By Michael J. Crawley

Multilevel Modeling Using R

By W. Holmes Finch,Jocelyn E. Holden,Ken Kelley

Statistics

By Michael J. Crawley

Introduction to Statistics in Human Performance

By Dale P. Mood,James R. Morrow Jr.

Hidden Markov models for time series

By W. Zucchini,Iain L. MacDonald,Walter Zucchini

Using R for Introductory Statistics

By John Verzani

R Primer

By Claus Thorn Ekstrom

Event History Analysis with R

By Göran Broström,Göran Broström

Probability

By Robert P. Dobrow

Learn R

By Pedro J. Aphalo

Introductory Statistics

By William B. Ware,John M. Ferron,Barbara M. Miller

Displaying time series, spatial, and space-time data with R

By Oscar Perpinan Lamigueiro

Quantitative Social Science

By Kosuke Imai

SAS and R

By Ken Kleinman,Nick Horton

R for College Mathematics and Statistics

By Thomas Pfaff

Exploratory Data Analysis Using R

By Ronald K. Pearson

Adaptive design theory and implementation using SAS and R

By Mark Chang

Customer and business analytics

By Daniel S. Putler

Foundational and Applied Statistics for Biologists Using R

By Ken A. Aho

Analyzing sensory data with R

By Sebastien Le

R Markdown

By Yihui Xie,Garrett Grolemund,J. J. Allaire