A Handbook of Statistical Analyses using R by Brian S Everitt PAPERBACK
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A Handbook of Statistical Analyses using R\nby Brian S Everitt\nPaperback\nEnglish\n\nDelivery\nUsually delivered in 2\u20133 working days (dispatched today if ordered before 3pm).\n\nBrand new copy from BookCurl \u2013 the UK independent online bookseller.\n\n------------------------------\nBook details\n------------------------------\nAuthor: Brian S Everitt\nTitle: A Handbook of Statistical Analyses using R\nFormat: Paperback\nLanguage: English\nTopic: Biology, life sciences\nPublisher: Taylor & Francis Inc\nPublication year: 2014\nEdition: 3\nISBN-13: 9781482204582\nISBN-10: 1482204584\n\n------------------------------\nDescription\n------------------------------\n\nLike the best-selling first two editions, A Handbook of Statistical Analyses using R, Third Edition provides an up-to-date guide to data analysis using the R system for statistical computing. The book explains how to conduct a range of statistical analyses, from simple inference to recursive partitioning to cluste.
A Handbook of Statistical Analyses using R by Brian S Everitt PAPERBACK
A Handbook of Statistical Analyses using R\nby Brian S Everitt\nPaperback\nEnglish\n\nDelivery\nUsually delivered in 2\u20133 working days (dispatched today if ordered before 3pm).\n\nBrand new copy from BookCurl \u2013 the UK independent online bookseller.\n\n------------------------------\nBook details\n------------------------------\nAuthor: Brian S Everitt\nTitle: A Handbook of Statistical Analyses using R\nFormat: Paperback\nLanguage: English\nTopic: Biology, life sciences\nPublisher: Taylor & Francis Inc\nPublication year: 2014\nEdition: 3\nISBN-13: 9781482204582\nISBN-10: 1482204584\n\n------------------------------\nDescription\n------------------------------\n\nLike the best-selling first two editions, A Handbook of Statistical Analyses using R, Third Edition provides an up-to-date guide to data analysis using the R system for statistical computing. The book explains how to conduct a range of statistical analyses, from simple inference to recursive partitioning to cluste.
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