Introductory statistics with R / Peter Dalgaard
Material type: TextSeries: Statistics and computingPublisher: New York, : Distributor: Springer, Copyright date: ©2008Copyright date: 2010 ImpresiónEdition: 2ª ediciónDescription: xvi, 363 páginas : ilustraciones, gráficas ; 24 x 15 cmContent type:- texto
- sin medio
- volumen
- 9780387790534 (pbk. : alk. paper)
- QA 276 .45 .R3 D14 2008
Item type | Current library | Home library | Collection | Call number | Copy number | Status | Notes | Date due | Barcode | Item holds | |
---|---|---|---|---|---|---|---|---|---|---|---|
Libros para consulta en sala | Biblioteca Antonio Enriquez Savignac | Biblioteca Antonio Enriquez Savignac | COLECCIÓN RESERVA | QA 276 .45 .R3 D14 2008 (Browse shelf(Opens below)) | 2 | No para préstamo | Ingeniería en Datos e Inteligencia Organizacional | 041227 | |||
Libros | Biblioteca Antonio Enriquez Savignac | Biblioteca Antonio Enriquez Savignac | Colección General | QA 276 .45 .R3 D14 2008 (Browse shelf(Opens below)) | 3 | Available | Ingeniería en Datos e Inteligencia Organizacional | 041228 | |||
Libros para consulta en sala | Biblioteca Antonio Enriquez Savignac | Biblioteca Antonio Enriquez Savignac | COLECCIÓN RESERVA | QA 276.45.R3 D142 2008 (Browse shelf(Opens below)) | Ejem. 1 | Available | Ingeniería en Datos e Inteligencia Organizacional | 018281 |
Incluye referencias bibliográficas p. [355]-356 e índice
Basics -- The R environment -- Probability and distributions -- Descriptive statistics and graphics -- One and two-sample tests -- Regression and correlation -- Analysis of variance and the Kruskal-Wallis test -- Tabular data -- Power and the computation of sample size -- Advanced data handling -- Multiple regression -- Linear models -- Logistic regression -- Survival analysis -- Rates and Poisson regression -- Nonlinear curve fitting -- Appendices: Obtaining and Installing R and the ISwR package -- Data sets in the ISwR package - Compendium -- Answers to exercises
"R is an Open Source implementation of the S language. It works on multiple computing platforms and can be freely downloaded. R is now in widespread use for teaching at many levels as well as for practical data analysis and methodological development. 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 and the output, from the computational as well as the statistical viewpoint. Brief sections introduce the statistical methods before they are used. A supplementary R package can be downloaded and contains the data sets."--P. web editorial