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Publicado por Columbia University Press, 2014
ISBN 10: 0231166982 ISBN 13: 9780231166980
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Idioma: Inglés
Publicado por Columbia University Press -, 2014
ISBN 10: 0231166982 ISBN 13: 9780231166980
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Publicado por Columbia University Press, 2014
ISBN 10: 0231166982 ISBN 13: 9780231166980
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Publicado por Columbia University Press, 2014
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Publicado por Columbia University Press, 2014
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Idioma: Inglés
Publicado por Columbia University Press, 2014
ISBN 10: 0231166982 ISBN 13: 9780231166980
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Idioma: Inglés
Publicado por Columbia University Press, 2014
ISBN 10: 0231166982 ISBN 13: 9780231166980
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Añadir al carritoCondición: New. Num Pages: 248 pages, black & white illustrations, figures. BIC Classification: PSA. Category: (P) Professional & Vocational. Dimension: 254 x 178 x 20. Weight in Grams: 454. . 2014. Hardcover. . . . .
Idioma: Inglés
Publicado por Columbia University Press, 2014
ISBN 10: 0231166982 ISBN 13: 9780231166980
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Idioma: Inglés
Publicado por Columbia University Press, US, 2014
ISBN 10: 0231166982 ISBN 13: 9780231166980
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Añadir al carritoHardback. Condición: New. R is the most widely used open-source statistical and programming environment for the analysis and visualization of biological data. Drawing on Gregg Hartvigsen's extensive experience teaching biostatistics and modeling biological systems, this text is an engaging, practical, and lab-oriented introduction to R for students in the life sciences. Underscoring the importance of R and RStudio in organizing, computing, and visualizing biological statistics and data, Hartvigsen guides readers through the processes of entering data into R, working with data in R, and using R to visualize data using histograms, boxplots, barplots, scatterplots, and other common graph types. He covers testing data for normality, defining and identifying outliers, and working with non-normal data. Students are introduced to common one- and two-sample tests as well as one- and two-way analysis of variance (ANOVA), correlation, and linear and nonlinear regression analyses. This volume also includes a section on advanced procedures and a chapter introducing algorithms and the art of programming using R.
Idioma: Inglés
Publicado por Columbia University Press, 2014
ISBN 10: 0231166982 ISBN 13: 9780231166980
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Añadir al carritoHardback. Condición: New. New copy - Usually dispatched within 3 working days.
Idioma: Inglés
Publicado por Columbia University Press, 2014
ISBN 10: 0231166982 ISBN 13: 9780231166980
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Idioma: Inglés
Publicado por Columbia University Press, 2014
ISBN 10: 0231166982 ISBN 13: 9780231166980
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Añadir al carritoCondición: New. Num Pages: 248 pages, black & white illustrations, figures. BIC Classification: PSA. Category: (P) Professional & Vocational. Dimension: 254 x 178 x 20. Weight in Grams: 454. . 2014. Hardcover. . . . . Books ship from the US and Ireland.
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Añadir al carritoCondición: New. Drawing on Gregg Hartvigsen s extensive experience teaching biostatistics and modeling biological systems, this text is an engaging, practical, and lab-oriented introduction to R for students in the life sciences.Über den AutorG.
Idioma: Inglés
Publicado por Columbia University Press, 2014
ISBN 10: 0231166982 ISBN 13: 9780231166980
Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de America
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Idioma: Inglés
Publicado por Columbia University Press Feb 2014, 2014
ISBN 10: 0231166982 ISBN 13: 9780231166980
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 126,50
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Añadir al carritoBuch. Condición: Neu. Neuware - R is the most widely used open-source statistical and programming environment for the analysis and visualization of biological data. Drawing on Gregg Hartvigsen's extensive experience teaching biostatistics and modeling biological systems, this text is an engaging, practical, and lab-oriented introduction to R for students in the life sciences. Underscoring the importance of R and RStudio in organizing, computing, and visualizing biological statistics and data, Hartvigsen guides readers through the processes of entering data into R, working with data in R, and using R to visualize data using histograms, boxplots, barplots, scatterplots, and other common graph types. He covers testing data for normality, defining and identifying outliers, and working with non-normal data. Students are introduced to common one- and two-sample tests as well as one- and two-way analysis of variance (ANOVA), correlation, and linear and nonlinear regression analyses. This volume also includes a section on advanced procedures and a chapter introducing algorithms and the art of programming using R.
Librería: Revaluation Books, Exeter, Reino Unido
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Añadir al carritoHardcover. Condición: Brand New. 248 pages. 10.00x7.00x0.75 inches. In Stock.
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Añadir al carritoBuch. Condición: Neu. A Primer in Biological Data Analysis Using R | Gregg Hartvigsen | Buch | Einband - fest (Hardcover) | Englisch | 2014 | COLUMBIA UNIV PR | EAN 9780231166980 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
Idioma: Inglés
Publicado por Columbia University Press, US, 2014
ISBN 10: 0231166982 ISBN 13: 9780231166980
Librería: Rarewaves.com UK, London, Reino Unido
EUR 131,11
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Añadir al carritoHardback. Condición: New. R is the most widely used open-source statistical and programming environment for the analysis and visualization of biological data. Drawing on Gregg Hartvigsen's extensive experience teaching biostatistics and modeling biological systems, this text is an engaging, practical, and lab-oriented introduction to R for students in the life sciences. Underscoring the importance of R and RStudio in organizing, computing, and visualizing biological statistics and data, Hartvigsen guides readers through the processes of entering data into R, working with data in R, and using R to visualize data using histograms, boxplots, barplots, scatterplots, and other common graph types. He covers testing data for normality, defining and identifying outliers, and working with non-normal data. Students are introduced to common one- and two-sample tests as well as one- and two-way analysis of variance (ANOVA), correlation, and linear and nonlinear regression analyses. This volume also includes a section on advanced procedures and a chapter introducing algorithms and the art of programming using R.
Librería: Revaluation Books, Exeter, Reino Unido
EUR 116,55
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Añadir al carritoHardcover. Condición: Brand New. 248 pages. 10.00x7.00x0.75 inches. In Stock. This item is printed on demand.