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, this book is written for users who have covered at least the equivalent of (or are currently studying) undergraduatelevel 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. Illustrate a range of statistical and probability computations using R forpeople who are learning, teaching, or using statistics. Provide a general introduction to the R system and provides an overview of the capabilities of R toperform basic numerical and graphical summaries of data. R functions are presented in the context of interesting applications with real data. INDICE: Introduction. Quantitative Data. Categorical Data. Presentation Graphics. Exploratotry Data Analysis. Basic Inference Models. Regression. Analysis of Variance I. Analysis of Variance II. Randomiczation tests. Simulation Experiments. Bayesian Modeling. Monte Carlo Methods.
- ISBN: 978-1-4614-1364-6
- Editorial: Springer New York
- Encuadernacion: Cartoné
- Páginas: 361
- Fecha Publicación: 28/12/2011
- Nº Volúmenes: 1
- Idioma: Inglés