https://cran.rstudio.com/
Contributed Documentation

English --- Other Languages

Manuals, tutorials, etc. provided by users of R. The R core team does not take any responsibility for contents, but we appreciate the effort very much and encourage everybody to contribute to this list! To submit, follow the submission instructions on the CRAN main page. All material below is available directly from CRAN, you may also want to look at the list of other R documentation available on the Internet.

Note:Please use the directory listing to sort by name, size or date (e.g., to see which documents have been updated latetly).

English Documents

Documents with more than 100 pages:

“Using R for Data Analysis and Graphics - Introduction, Examples and Commentary” by John Maindonald (PDF, data sets and scripts are available at JM's homepage).
“Practical Regression and Anova using R” by Julian Faraway (PDF, data sets and scripts are available at the book homepage).
The Web Appendix to the book “An R Companion to Applied Regression” (second edition) by John Fox and Sanford Weisberg contains information about R to fit a variety of regression models.
“An Introduction to S and the Hmisc and Design Libraries” by Carlos Alzola and Frank E. Harrell, especially of interest to SAS users, users of the Hmisc or Design packages, or R users interested in data manipulation, recoding, etc. (PDF)
“Statistical Computing and Graphics Course Notes” by Frank E. Harrell, includes material on S, LaTeX, reproducible research, making good graphs, brief overview of computer languaes, etc. (PDF).
“An Introduction to R: Software for Statistical Modelling & Computing” by Petra Kuhnert and Bill Venables (ZIP 3.8MB): A 360 page PDF document of lecture notes in combination with the data sets and R scripts used in the manuscript.
“Introduction to the R Project for Statistical Computing for Use at the ITC” by David Rossiter (PDF, 2012-08-20, 141 pages).
“Analysis of Epidemiological Data Using R and Epicalc” by Virasakdi Chongsuvivatwong (PDF).
“Statistics Using R with Biological Examples” by Kim Seefeld and Ernst Linder (PDF).
“IcebreakeR” by Andrew Robinson (PDF, 2015-10-14).
“Applied Statistics for Bioinformatics Using R” by Wim Krijnen (PDF, 2009-11-17, 278 pages).
“An Introduction to R” by Longhow Lam (PDF, 2010-10-28, 212 pages).
“R and Data Mining: Examples and Case Studies” by Yanchang Zhao (PDF, 2013-04-26, 160 pages).
“A Student's Guide to R” by Nicholas J. Horton, Randall Pruim, and Daniel T. Kaplan (PDF, 2015-11-16, 119 pages).
“Is R Suitable Enough for Biostatisticians?” by Adrian Olszewski (PDF, 2015-06-28, 365 pages).

There are many books including chinese books. That is very good.  R is more popular, microsoft have combined RRO.