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paperback. Condition: New. Paperback. Pub Date: 2020-01-01 Pages: 344 Language: Chinese Publisher: Machinery Industry Press Learning R through Examples according to the knowledge framework of statistics. introduces the R language and its statistical computing environment through a large number of examples.?The main content includes: introduction. quantitative data. categorical data. graphical representation. exploratory data analysis. basic inference methods. regression. analysis of variance. randomization test. simula.
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Published by Springer Verlag GmbH, 2024
ISBN 10: 3031760735 ISBN 13: 9783031760730
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ISBN 10: 3031760735 ISBN 13: 9783031760730
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Add to basketPaperback. Condition: new. Paperback. Now in its second edition, R by Example is an example-based introduction to the statistical computing environment that does not assume any previous familiarity with R or other software packages. R functions are presented in the context of interesting applications with real data.The purpose of this book is to illustrate a range of statistical and probability computations using R for people who are learning, teaching, or using statistics. Specifically, it is written for users who have covered at least the equivalent of (or are currently studying) undergraduate level calculus-based courses in statistics. These users are learning or applying exploratory and inferential methods for analyzing data, and this book is intended to be a useful resource for learning how to implement these procedures in R.The new edition includes expanded coverage of ggplot2 graphics, as well as new chapters on importing data and multivariate data methods. Now in its second edition, R by Example is an example-based introduction to the statistical computing environment that does not assume any previous familiarity with R or other software packages. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Taschenbuch. Condition: Neu. R by Example | Jim Albert (u. a.) | Taschenbuch | xv | Englisch | 2024 | Springer | EAN 9783031760730 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.