Books written by Nicholas J. Horton

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  Modern Data Science with R

  This textbook is designed for an undergraduate course in data science that emphasizes topics in both statistics and computer science.

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  SAS and R: Data Management, Statistical Analysis, and Graphics

  [31] [32] [33] [34] [35] W. D. Dupont and W. D. Plummer. Density distribution sunflower plots. Journal of Statistical Software, 8:1–11, 2003. B. Efron and R. J. Tibshirani. An Introduction to the Bootstrap. Chapman & Hall, New York, ...

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  Using R for Data Management, Statistical Analysis, and Graphics

  ... 173 time series data, 216 titles, 175 Plummer, Martyn, 1 PNG exporting, 181 point size specification, 177 points, 173 locating, 177 Poisson distribution, 75 Poisson family, 122 Poisson regression, 121, 122, 138 zero-inflated, 123, ...

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  Using R and RStudio for Data Management, Statistical Analysis, and Graphics, Second Edition

  New to the Second Edition The use of RStudio, which increases the productivity of R users and helps users avoid error-prone cut-and-paste workflows New chapter of case studies illustrating examples of useful data management tasks, reading ...

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  SAS and R: Data Management, Statistical Analysis, and Graphics, Second Edition

  Data Management, Statistical Analysis, and Graphics, Second Edition Ken Kleinman, Nicholas J. Horton ... Pace 1. NA NA O. OO O : OO : OO 2. 73 O : 21 : 56 1316 2. 69 O : 22 : 17 Average. Pace . . secs. Climb . . feet. Calories 1.

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  Using R and RStudio for Data Management, Statistical Analysis, and Graphics

  Nicholas J. Horton, Ken Kleinman ... Average.Speed..miles.h. Average.Pace 1 NA NA 0.00 0:00:00 2 2.73 0:21:56 1316 2.69 0:22:17 Average.Pace..secs. Climb..feet. Calories 1 0 0 0 2 1337 0 1 The results are shown in Figure 12.3.

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  Modern Data Science with R

  The second edition is updated to reflect the growing influence of the tidyverse set of packages. All code in the book has been revised and styled to be more readable and easier to understand.

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  Using SAS for Data Management, Statistical Analysis, and Graphics

  Quick and Easy Access to Key Elements of Documentation Includes worked examples across a wide variety of applications, tasks, and graphicsA unique companion for statistical coders, Using SAS for Data Management, Statistical Analysis, and ...

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  SAS and R: Data Management, Statistical Analysis, and Graphics, Second Edition

  An Up-to-Date, All-in-One Resource for Using SAS and R to Perform Frequent Tasks The first edition of this popular guide provided a path between SAS and R using an easy-to-understand, dictionary-like approach.

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  Modern Data Science with R

  This book will help readers with some background in statistics and modest prior experience with coding develop and practice the appropriate skills to tackle complex data science projects.

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  Modern Data Science with R

  Closely-related methods, sampling and resampling, were introduced in Chapter 9 when we used simulation to assess the statistical significance of patterns observed in data. Counter-intuitively, the use of random numbers is an important ...

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  Using R for Data Management, Statistical Analysis, and Graphics

  Through the extensive indexing, cross-referencing, and worked examples in this text, users can directly find and implement the material they need. The text includes convenient indices organized by topic and R syntax.