Ships same day or next business day via UPS (Priority Mail for AK/HI/APO/PO Boxes)! Used sticker and some writing and/or highlighting. Used books may not include working access ...code or dust jacket.Read moreShow Less
Ships same day or next business day! UPS expedited shipping available (Priority Mail for AK/HI/APO/PO Boxes). Used sticker & some writing and/or highlighting. Used books may not ...include working access code or dust jacketRead moreShow Less
PAPERBACK Good 0470022981 Good condition books may have signs of cover wear and/or marks on corners and page edges. Inside pages may have highlighting, writing and underlining. ...Supplemental materials such as CDs, Access Codes, and Course Packs are not guaranteed to be included. Ships fast from Ontario, delivery is between 5-10 business days. Satisfaction guaranteed!Read moreShow Less
"Statistics: An Introduction using R is a clear and concise introductory textbook to statistical analysis using this powerful and free software, and follows on from the success of the author's previous best-selling title Computational Statistics." Statistics: An Introduction using R is the first text to offer such a concise introduction to a broad array of statistical methods, at a level that is elementary enough to appeal to a broad range of disciplines. It is primarily aimed at undergraduate students in medicine, engineering, economics and biology - but will also appeal to postgraduates who have not previously covered this area, or wish to switch to using R.
"I would recommend this book to those who need to teach statistics via the medium of R and those self learners who want to acquire the basic techniques of statistics together with powerful statistical software." (Technometrics, May 2006)
"…will provide you with enhanced statistical insights…and access to a free and powerful computing language." (Clinical Chemistry, May 2006)
"...I know of no better book of its kind..." (Journal of the Royal Statistical Society, Vol 169 (1), January 2006)
"…offers a demanding, non-calculus-based coverage of such standard topics as hypothesis testing, modeling, regression, ANOVA, and count data." (CHOICE, November 2005)