Peter Dalgaard，哥本哈根大學生物統計係的副教授，有著豐富的教學經驗。自1997年起，便加入瞭R核心小組至今。譯者簡介：郝智恒，蘭州人，南開大學數理統計專業畢業，目前在淘寶做數據挖掘工程師。推崇開源，認為唯有共享和交流纔能讓這個世界變好，固執的認為一切技術上的封閉和試圖壟斷都是紙老虎。何通，生長於桂林，求學於廣州，喜統計，好編程，結交眾友，不亦樂乎。鄧一碩，畢業於中央財經大學統計學院統計專業，現效力於首鋼總公司計財部。國內最大的統計學專業社區“統計之都”理事人員，感興趣的領域是時間序列分析及數據挖掘技術在金融投資分析中的應用。個人網站為http://yishuo.org，微博為http://weibo.com/dengyishuo。劉旭華，現為中國農業大學理學院應用數學係副教授，北京理工大學博士，美國北卡萊羅納大學教堂山分校（University of North Carolina at Chapel Hill）訪問學者，主要從事數理統計方嚮的研究工作。主持和參與多項國傢自然科學基金及其他科研基金項目，發錶科研論文多篇。

R is an Open Source implementation of the well-known S language. It works on multiple computing platforms and can be freely downloaded. R is thus ideally suited for teaching at many levels as well as for practical data analysis and methodological development. This book provides an elementary-level introduction to R, targeting both non-statistician scientists in various fields and students of statistics. The main mode of presentation is via code examples with liberal commenting of the code and the output, from the computational as well as the statistical viewpoint. Brief sections introduce the statistical methods before they are used. A supplementary R package can be downloaded and contains the data sets. All examples are directly runnable and all graphics in the text are generated from the examples. The statistical methodology covered includes statistical standard distributions, one- and two-sample tests with continuous data, regression analysis, one- and two-way analysis of variance, regression analysis, analysis of tabular data, and sample size calculations. In addition, the last four chapters contain introductions to multiple linear regression analysis, linear models in general, logistic regression, and survival analysis. Peter Dalgaard is associate professor at the Biostatistical Department at the University of Copenhagen and has extensive experience in teaching within the PhD curriculum at the Faculty of Health Sciences. He was chairman of the Danish Society for Theoretical Statistics from 1996 to 2000. Peter Dalgaard has been a key member of the R Core Team since August 1997 and is well known among R users for his activity on the R mailing lists.