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Unlock the power of R for your biological research with "Getting Started with R: An Introduction for Biologists." This comprehensive guide is designed to help biologists effectively import, explore, graph, and analyze their data, enabling clear communication of findings in presentations, posters, papers, and reports. Learn a consistent, efficient, reliable, and reproducible workflow for using R. The second edition is updated and expanded, offering an accessible and fun introduction to the essential packages `dplyr` for data manipulation and `ggplot2` for graphing. It covers basic statistics, including new examples of simple regression, one-way and two-way ANOVA, and introduces the generalized linear model. Whether you're an undergraduate, graduate student, or professional researcher, this book provides the R skills you need to excel in the biological sciences. **Summary:** "Getting Started with R: An Introduction for Biologists" by Oxford University Press is a hardcover book detailing R programming for biologists. It covers data import, exploration, graphing, analysis, dplyr, ggplot2, regression, ANOVA, and generalized linear models. Written by Andrew P. Beckerman, Dylan Z. Childs, and Owen L. Petchey, with 256 pages and English language version.
Unlock the power of R for your biological research with "Getting Started with R: An Introduction for Biologists." This comprehensive guide is designed to help biologists effectively import, explore, graph, and analyze their data, enabling clear communication of findings in presentations, posters, papers, and reports. Learn a consistent, efficient, reliable, and reproducible workflow for using R. The second edition is updated and expanded, offering an accessible and fun introduction to the essential packages `dplyr` for data manipulation and `ggplot2` for graphing. It covers basic statistics, including new examples of simple regression, one-way and two-way ANOVA, and introduces the generalized linear model. Whether you're an undergraduate, graduate student, or professional researcher, this book provides the R skills you need to excel in the biological sciences. **Summary:** "Getting Started with R: An Introduction for Biologists" by Oxford University Press is a hardcover book detailing R programming for biologists. It covers data import, exploration, graphing, analysis, dplyr, ggplot2, regression, ANOVA, and generalized linear models. Written by Andrew P. Beckerman, Dylan Z. Childs, and Owen L. Petchey, with 256 pages and English language version.
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