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This practical guide provides more than 150 recipes to help you generate high-quality graphs quickly, without having to comb through all the details of R’s graphing systems.
2
A Textbook of Graph Theory
Here is a solid introduction to graph theory, covering Dirac's theorem on k-connected graphs, Harary-Nashwilliam's theorem on the hamiltonicity of line graphs, Toida-McKee's characterization of Eulerian graphs, Fournier's proof of ...
R. Balakrishnan, K. Ranganathan, 2000
3
R for SAS and SPSS Users
Introduces R, a free software system for data analysis and graphics with over 4.000 add-on packages. Demonstrates which of the add-on packages are most like SAS and SPSS and compares them to R's built-in functions.
4
R and Data Mining: Examples and Case Studies
Readers will find this book a valuable guide to the use of R in tasks such as classification and prediction, clustering, outlier detection, association rules, sequence analysis, text mining, social network analysis, sentiment analysis, and ...
This highly practical book is written specifically for those involved with commercial cheesemaking - either directly or as ingredient or equipment suppliers.
R. Scott, Richard K. Robinson, R. Andrew Wilbey, 1998
6
Applied Econometrics with R
This is the first book on applied econometrics using the R system for statistical computing and graphics.
Christian Kleiber, Achim Zeileis, 2008
With more than 200 practical recipes, this book helps you perform data analysis with R quickly and efficiently.
8
The First R: How Children Learn Race and Racism
A remarkable study revealing that answers might be more startling than could be imagined.
Debra Van Ausdale, Joe R. Feagin, 2001
9
An R Companion to Applied Regression
This book aims to provide a broad introduction to the R statistical environment in the context of applied regression analysis, which is typically studied by social scientists and others in a second course in applied statistics.
John Fox, Sanford Weisberg, 2011
10
Generalized additive models: an introduction with R
Generalized Additive Models: An Introduction with R imparts a thorough understanding of the theory and practical applications of GAMs and related advanced models, enabling informed use of these very flexible tools.
