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with real R code that complies with the standards of the language.;
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Focusing on user-developed programming, An R Companion to Linear Statistical Models serves two audiences: those who are familiar with the;
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Focusing on user-developed programming, An R Companion to Linear Statistical Models serves two audiences: those who are familiar with the;
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, the computing standard for analyzing data. This book comes with real R code that teaches the standards of the language. Unlike other;
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statistical problems, making the versatile R language an ideal computing environment for these fields. One of the first books on these topics to;
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comparisons of permutation and classical statistical methods are presented, supplemented with a variety of R scripts for ease of computation. The text;
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in computational statistics or for self-study, Statistical Computing with R, Second Edition provides a balanced, accessible introduction to computational;
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statistical problems. In addition, the handy appendix includes a collection of R language elements and functions, serving as a quick reference and;
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R is a freely available, open-source statistical programming environment which provides powerful statistical analysis tools and graphics;
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Statistical Programming in SAS Second Edition provides a foundation for programming to implement statistical solutions using SAS, a system;
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Statistical Programming in SAS Second Edition provides a foundation for programming to implement statistical solutions using SAS, a system;
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Features a straightforward and concise resource for introductory statistical concepts, methods, and techniques using R Understanding and;
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The Book of R is a comprehensive, beginner-friendly guide to R, the world s most popular programming language for statistical analysis;
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how R operates in a user-friendly context. Both students and workers in fields that require extensive statistical analysis will find this book;
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multiple examples using R to achieve results, and concludes with a case study. Written by Matt and Joshua F. Wiley, Advanced R Statistical;
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An Introduction to Acceptance Sampling and SPC with R is an introduction to statistical methods used in monitoring, controlling and;
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An Introduction to Acceptance Sampling and SPC with R is an introduction to statistical methods used in monitoring, controlling and;
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and procedures. But now, thanks to Statistical Analysis with R For Dummies, you have access to a trusted, easy-to-follow guide that focuses on;
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This textbook covers R data analysis related to environmental science, starting with basic examples and proceeding up to advanced;
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In Statistical Programming in SAS, author A. John Bailer integrates SAS tools with interesting statistical applications and uses SAS 9.2 as;
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the reader a start in SAS programming and the basic data manipulations and statistical summaries that are available through SAS. The book has;
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the reader a start in SAS programming and the basic data manipulations and statistical summaries that are available through SAS. The book has;
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This book details the statistical concepts used in gene mapping, first in the experimental context of crosses of inbred lines and then;
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This textbook covers R data analysis related to environmental science, starting with basic examples and proceeding up to advanced;
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economies running smoothly. The Art of R Programming takes you on a guided tour of software development with R, from basic types and data structures;
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The first textbook of its kind, Quantitative Corpus Linguistics with R demonstrates how to use the open source programming language R for;
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The first textbook of its kind, Quantitative Corpus Linguistics with R demonstrates how to use the open source programming language R for;
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