The grammar of Graphics
Wilkinson, Leland. 2005. Springer.
Not an R book. This book is one of the first to formalise the creation of scientific graphics. An essential reading for those interested in the nitty-gritty work of preparing professional scientific illustrations.
Not an R book. This book is one of the first to formalise the creation of scientific graphics. An essential reading for those interested in the nitty-gritty work of preparing professional scientific illustrations.
ggplot2: Elegant Graphics for Data analysis
Wickham, Hadley. 2009. Springer.
A must have book by the creator of the ggplot2 package.
A must have book by the creator of the ggplot2 package.
R Graphics Cookbooks
Chang, Winston. 2013. O’Reilly.
This book provides a set of recipes to solve the common problems found in creating graphics with R and ggplot2. Written by the co-creator of the ggplot2 package for R.
This book provides a set of recipes to solve the common problems found in creating graphics with R and ggplot2. Written by the co-creator of the ggplot2 package for R.
An introduction to R
Venables, William, N. and Smith, David. M. 2009.
Published first in 1990, this books has followed all the development of R through successive re-editions. It is an introductory book, not a book on statistics. It covers both the language, some stats, the basic graphic packages, data manipulation etc.
Published first in 1990, this books has followed all the development of R through successive re-editions. It is an introductory book, not a book on statistics. It covers both the language, some stats, the basic graphic packages, data manipulation etc.
A Handbook of Statistical Analysis Using R
Everett, Brian, S. and Hothorn, Torsten. 2010.
The book covers a series of statistical analysis from linear regressions to simple analysis of variance and logistic regressions. Some of the chapters also provide explanation of the principal component, multidimensional and cluster, multivariate analysis using specialised packages.
The book covers a series of statistical analysis from linear regressions to simple analysis of variance and logistic regressions. Some of the chapters also provide explanation of the principal component, multidimensional and cluster, multivariate analysis using specialised packages.
Introduction to Probability and Statistics using R
Kerns, G. Jay. 2010.
This is a textbook for an undergraduate course in probability and statistics. Half of the course focuses on probabilities and distribution, the other half on some inferential statistics.
This is a textbook for an undergraduate course in probability and statistics. Half of the course focuses on probabilities and distribution, the other half on some inferential statistics.
Introductory Statistics with R
Dalgaard, Peter. 2008.
This book provides an elementary-level introduction to R, targeting both non-statistician scientists in various fields and students of statistics. The main mode of presentation is via code examples with liberal commenting of the code
This book provides an elementary-level introduction to R, targeting both non-statistician scientists in various fields and students of statistics. The main mode of presentation is via code examples with liberal commenting of the code
Non-Parametric statistics with R
Kloke, John and McKean, Joseph, W. 2015
The book covers traditional nonparametric methods and rank-based analysis, including estimation and inference for models ranging from simple location models to general linear and nonlinear models for uncorrelated and correlated responses.
The book covers traditional nonparametric methods and rank-based analysis, including estimation and inference for models ranging from simple location models to general linear and nonlinear models for uncorrelated and correlated responses.
The R Book
Crawley, Michael, J. 2013.John Wiley and Sons. 1025 pp.
Very successful and comprehensive book on the R language and its applications. Aims at both students and researcher alike, the R book is becoming a indispensable reference book.
Very successful and comprehensive book on the R language and its applications. Aims at both students and researcher alike, the R book is becoming a indispensable reference book.
Beginning R. The statistical Programming Language
Gardener, Mark. 2012. John Wiley and Sons. 475 pp.
This book examines the R language using simple statistical examples, showing how R operates in a user-friendly context. Researchers and students are invited to learn to use R for simple summary statistics, hypothesis testing, creating graphs, regression.
This book examines the R language using simple statistical examples, showing how R operates in a user-friendly context. Researchers and students are invited to learn to use R for simple summary statistics, hypothesis testing, creating graphs, regression.
R for Dummies
de Vries, Andrie and Meys, J. Wiley. 406 pp
A basic introduction to R in the context of statistical analysis.The books includes chapters on data management and manipulation, inferential statistics, regressions and modelling and graphing.
A basic introduction to R in the context of statistical analysis.The books includes chapters on data management and manipulation, inferential statistics, regressions and modelling and graphing.
The Essential R Reference
Gardener, Mark. 2012. Wiley. 576 pp.
An ebook with basic recipes for data management, statistics, graphics using R.
An ebook with basic recipes for data management, statistics, graphics using R.
Discovering Statistics using R
Field, Andy, Miles, Jeremy and Field, Zoe. 2012.
The book presents serious statistics in a unique and funny style. As its names suggest, it introduces statistics, then introduces how things can be done in R. There are exercises and additional information on particular packages in R.
The book presents serious statistics in a unique and funny style. As its names suggest, it introduces statistics, then introduces how things can be done in R. There are exercises and additional information on particular packages in R.
Learning RStudio for R Statistical Computing
van der Loo, Mark, P.J. and de Jonge, Edwin. 2012. Packt Publishing. 111pp.
A introduction to the RStudio development program. RStudio is a Integrated Development Environment (IDE), specially designed to work with R.
A introduction to the RStudio development program. RStudio is a Integrated Development Environment (IDE), specially designed to work with R.
Getting Started with RStudio
Verzani, John. 2011. O’Reilly. 79pp.
Another introductory text on using RStudio Integrated Development Environment (IDE) for R. The books covers installation all the way to creating a new package.
Another introductory text on using RStudio Integrated Development Environment (IDE) for R. The books covers installation all the way to creating a new package.
Circular Statistics in R
Pewsey, Arthur, Neuhäuser, Markus and Ruxton, Graeme, D. 2013. Oxford University Press. 206pp.(digital edition)
A complete explanation on the use of the package “circular” for the analysis of periodic, directional or angular data. The text is accompanied by a series of additional functions that can be downloaded.
A complete explanation on the use of the package “circular” for the analysis of periodic, directional or angular data. The text is accompanied by a series of additional functions that can be downloaded.