TENDENCIES OF USE OF THE TERM «R & A»
The term «R & A» is very widely used and occupies the
235 position in our list of most widely used terms in the
English dictionary.
FREQUENCY
Very widely used
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Principal search tendencies and common uses of
R & A
List of principal searches undertaken by users to access our
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10 ENGLISH BOOKS RELATING TO «R & A»
Discover the use of
R & A in the following bibliographical selection. Books relating to
R & A and brief extracts from same to provide context of its use in English literature.
Is supported by an accompanying website allowing examples from the text to be run by the user. Praise for the first edition: ‘…if you are an R user or wannabe R user, this text is the one that should be on your shelf.
Is supported by an accompanying website allowing examples from the text to be run by the user. Praise for the first edition: ‘…if you are an R user or wannabe R user, this text is the one that should be on your shelf.
The R Book is aimed at undergraduates, postgraduates and professionals in science, engineering and medicine. It is also ideal for students and professionals in statistics, economics, geography and the social sciences.
With more than 200 practical recipes, this book helps you perform data analysis with R quickly and efficiently.
"Practical recipes for visualizing data"--Cover.
6
Data Manipulation with
R
Everyone using R needs to work with data, data almost always comes from an external source that has to be imported into R. The tasks covered in this book are essential tasks in R.
7
Applied Spatial Data Analysis with
R: analysis with
R
Addresses the needs of researchers and students using R to analyze spatial data across a range of disciplines and professions.
Roger S. Bivand, Edzer J. Pebesma, Virgilio Gómez-Rubio, 2008
Much of the information presented in this book cannot be found anywhere else. Well ahead of the curve, particularly regarding the grid system, R Graphics will have a major impact on the future direction of statistical graphics development.
9
Applied Econometrics with
R
This book covers a variety of regression models, regression diagnostics and robustness issues, the nonlinear models of microeconomics, time series and time series econometrics.
Christian Kleiber, Achim Zeileis, 2008
Requiring no prior programming experience and packed with practical examples, easy, step-by-step exercises, and sample code, this extremely accessible guide is the ideal introduction to R for complete beginners.
Joris Meys, Andrie de Vries, 2012
