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1-4 of 4 results for Author: torsten hothorn (sorted by Publication Date, showing all)
  1. A Handbook of Statistical Analyses using R, Third Edition

    By Torsten Hothorn, Brian S. Everitt

    Like 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...

    Published June 24th 2014 by Chapman and Hall/CRC

  2. Multiple Comparisons Using R

    By Frank Bretz, Torsten Hothorn, Peter Westfall

    Adopting a unifying theme based on maximum statistics, Multiple Comparisons Using R describes the common underlying theory of multiple comparison procedures through numerous examples. It also presents a detailed description of available software implementations in R. The R packages and source code...

    Published July 26th 2010 by Chapman and Hall/CRC

  3. A Handbook of Statistical Analyses Using R, Second Edition

    By Torsten Hothorn, Brian S. Everitt

    A Proven Guide for Easily Using R to Effectively Analyze Data Like its bestselling predecessor, A Handbook of Statistical Analyses Using R, Second Edition provides a guide to data analysis using the R system for statistical computing. Each chapter includes a brief account of the relevant...

    Published July 19th 2009 by Chapman and Hall/CRC

  4. A Handbook of Statistical Analyses Using R

    By Torsten Hothorn, Brian S. Everitt

    R is dynamic, to say the least. More precisely, it is organic, with new functionality and add-on packages appearing constantly. And because of its open-source nature and free availability, R is quickly becoming the software of choice for statistical analysis in a variety of fields.Doing for R what...

    Published February 16th 2006 by Chapman and Hall/CRC

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