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Verlag: New India Publishing Agency, 2025
ISBN 10: 8119235495 ISBN 13: 9788119235490
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Hardcover. Zustand: New. The book provides a comprehensive guide on the application of statistical methods in agricultural research, with a focus on using R software for data analysis. It addresses the need for practical, understandable statistical analysis in agriculture, where its core objective is to equip readers with the skill manage and analyse data within the software for various experimental designs, perform basic statistical analysis, interpreting results from diverse types of crop trials - be it simple, factorial, or pooled experimental design and effectively presenting agricultural data. The book is structured into several chapters, each addressing a different aspect of statistical applications in agriculture. It begins with an introduction to fundamental statistical terminology and concepts, highlighting the relevance of statistics in various fields and the rationale behind selecting R for data analysis. The book then guides readers through the installation of R and RStudio, providing practical advice on data import and workspace setup. It explores into basic statistics, focusing on key data metrics & graph and demonstrates the ease of executing these tasks in R. The chapters progress to cover experimental design, offering insights into principles and the use of R for treatment randomization in diverse experiments. The book also addresses correlation analysis, path analysis in plant breeding research and data transformation techniques, each with hands-on R examples. Advanced topics include a thorough examination of Completely Randomized Design (CRD), Randomized Block Design (RBD) and Latin Square Design (LSD), discussing their theoretical foundations, structure and analysis, including ANOVA interpretations in R. Additionally, it explores Split and Strip Plot Designs and their applications, concluding with a chapter on visualizing output, particularly focusing on multiple comparison tests and their representation in R. This book is structured to provide a sequential understanding of both the theoretical and practical aspects of statistical application in agriculture, making it an indispensable guide for researchers and practitioners in the field.
Sprache: Englisch
Verlag: New India Publishing Agency - NIPA
ISBN 10: 8119235495 ISBN 13: 9788119235490
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Verlag: LAP LAMBERT Academic Publishing, 2011
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Verlag: Edições Nosso Conhecimento, 2023
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In den WarenkorbZustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Patel MehulMr. Mehul P.Patel is working as an Assistant professor in Vidhyabharti Trust College of pharmacy, Umrakh, Bardoli. He has published many papers in many journals. He has also good skill in medical writting and in animal ha.
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ISBN 10: 6202028262 ISBN 13: 9786202028264
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In den WarenkorbZustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Shah RumitDr. Rumit M. Shah is working as Associate Professor at Shree Naranajibhai Lalbhai Patel College of Pharmacy, Bardoli, Surat Gujarat, since 2009. He has published many national and international papers and actively participa.
Sprache: Englisch
Verlag: New India Publishing Agency - NIPA
ISBN 10: 8119235495 ISBN 13: 9788119235490
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Buch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The book provides a comprehensive guide on the application of statistical methods in agricultural research, with a focus on using R software for data analysis. It addresses the need for practical, understandable statistical analysis in agriculture, where its core objective is to equip readers with the skill manage and analyse data within the software for various experimental designs, perform basic statistical analysis, interpreting results from diverse types of crop trials - be it simple, factorial, or pooled experimental design and effectively presenting agricultural data. The book is structured into several chapters, each addressing a different aspect of statistical applications in agriculture. It begins with an introduction to fundamental statistical terminology and concepts, highlighting the relevance of statistics in various fields and the rationale behind selecting R for data analysis.The book then guides readers through the installation of R and RStudio, providing practical advice on data import and workspace setup. It explores into basic statistics, focusing on key data metrics & graph and demonstrates the ease of executing these tasks in R. The chapters progress to cover experimental design, offering insights into principles and the use of R for treatment randomization in diverse experiments. The book also addresses correlation analysis, path analysis in plant breeding research and data transformation techniques, each with hands-on R examples. Advanced topics include a thorough examination of Completely Randomized Design (CRD), Randomized Block Design (RBD) and Latin Square Design (LSD), discussing their theoretical foundations, structure and analysis, including ANOVA interpretations in R. Additionally, it explores Split and Strip Plot Designs and their applications, concluding with a chapter on visualizing output, particularly focusing on multiple comparison tests and their representation in R. This book is structured to provide a sequential understanding of both the theoretical and practical aspects of statistical application in agriculture, making it an indispensable guide for researchers and practitioners in the field. 190 pp. Englisch.
Sprache: Englisch
Verlag: New India Publishing Agency - NIPA
ISBN 10: 8119235495 ISBN 13: 9788119235490
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The book provides a comprehensive guide on the application of statistical methods in agricultural research, with a focus on using R software for data analysis. It addresses the need for practical, understandable statistical analysis in agriculture, where its core objective is to equip readers with the skill manage and analyse data within the software for various experimental designs, perform basic statistical analysis, interpreting results from diverse types of crop trials - be it simple, factorial, or pooled experimental design and effectively presenting agricultural data. The book is structured into several chapters, each addressing a different aspect of statistical applications in agriculture. It begins with an introduction to fundamental statistical terminology and concepts, highlighting the relevance of statistics in various fields and the rationale behind selecting R for data analysis.The book then guides readers through the installation of R and RStudio, providing practical advice on data import and workspace setup. It explores into basic statistics, focusing on key data metrics & graph and demonstrates the ease of executing these tasks in R. The chapters progress to cover experimental design, offering insights into principles and the use of R for treatment randomization in diverse experiments. The book also addresses correlation analysis, path analysis in plant breeding research and data transformation techniques, each with hands-on R examples. Advanced topics include a thorough examination of Completely Randomized Design (CRD), Randomized Block Design (RBD) and Latin Square Design (LSD), discussing their theoretical foundations, structure and analysis, including ANOVA interpretations in R. Additionally, it explores Split and Strip Plot Designs and their applications, concluding with a chapter on visualizing output, particularly focusing on multiple comparison tests and their representation in R. This book is structured to provide a sequential understanding of both the theoretical and practical aspects of statistical application in agriculture, making it an indispensable guide for researchers and practitioners in the field.
Anbieter: moluna, Greven, Deutschland
EUR 61,15
Anzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Shah RumitIl Dr. Rumit M. Shah lavora come professore associato presso lo Shree Naranajibhai Lalbhai Patel College of Pharmacy, Bardoli, Surat Gujarat, dal 2009. Ha pubblicato molti articoli nazionali e internazionali e partecipa att.
Anbieter: moluna, Greven, Deutschland
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In den WarenkorbZustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Shah RumitDr. Rumit M. Shah arbeitet seit 2009 als ausserordentlicher Professor am Shree Naranajibhai Lalbhai Patel College of Pharmacy, Bardoli, Surat Gujarat. Er hat viele nationale und internationale Arbeiten veroeffentlicht und nim.