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...(展开全部)

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 a...(展开全部)

Statistics for Linguists: An Introduction Using R is the first statistics textbook on linear models for linguistics. The book covers simple uses of linear models through generalized models to more advanced approaches, maintaining its focus on conceptual issues and avoiding excessive mathematical details. It contains many applied examples using the R statistical programming envi...(展开全部)

The R version of Andy Field′s hugely popular Discovering Statistics Using SPSS takes students on a journey of statistical discovery using the freeware R. Like its sister textbook, Discovering Statistics Using R is written in an irreverent style and follows the same ground breaking structure and pedagogical approach. The core material is enhanced by a cast of characters to help ...(展开全部)

Andy Field is Professor of Quantitative Methods at the University of Sussex. He has published widely (100+ research papers, 29 book chapters, and 17 books in various editions) in the areas of child anxiety and psychological methods and statistics. His current research interests focus on barriers to learning mathematics and statistics. He is internationally known as a statistics...(展开全部)

Taking a jargon-free approach, this guidebook introduces the basic principles of statistics to archaeologists. The author covers the necessary techniques for analyzing data collected in the field and laboratory as well as for evaluating the significance of the relationships between variables. In addition, chapters discuss the special concerns of working with samples. This well-...(展开全部)

周南（Robert D.Drennan） 生于1947年，美国国家科学院院士\匹兹堡大学人类学系杰出教授，曾获得世界考古学论坛重大考古研究成果奖、美洲考古学会会长奖和拉美与加勒比地区考古杰出奖。 周南教授本科毕业于普林斯顿大学艺术与考古系，硕博毕业于密歇根大学考古系。在读博期间，周南教授师从肯特.弗兰纳瑞教授学习新考古学。周南教授的研究方向为社会复杂化、量化方法在考古学中的应用、比较考古学和家户考古等。 周南曾在北美洲、中美洲和南美洲地区进行考古工作，是哥伦比亚新考古学的开创者，曾获得哥伦比亚安第斯大学荣誉博士。 从1996年至今，周南教授和吉林大学、中国人民大学、内蒙古自治区考古所和辽宁省考古所等单位合作，在内蒙古和辽宁等地开展早期社会复杂化研究。