Détail d'une collection
|
Documents disponibles dans la collection (9)
Ajouter le résultat dans votre panier Faire une suggestion Affiner la recherche Interroger des sources externes
ouvrage
The majority of data sets collected by researchers in all disciplines are multivariate, meaning that several measurements, observations, or recordings are taken on each of the units in the data set. These units might be human subjects, archaeolo[...]ouvrage
E. Paradis ; R. Gentleman, - Editeur scientifique ; Hornik, Kurt, - Editeur scientifique ; G. Parmigiani, - Editeur scientifique | London [GBR] : Springer | Use R!, ISSN 2197-5736 | 2012The increasing availability of molecular and genetic databases coupled with the growing power of computers gives biologists opportunities to address new issues, such as the patterns of molecular evolution, and re-assess old ones, such as the rol[...]ouvrage
C. Kleiber, - Auteur ; A. Zeileis, - Auteur | London [GBR] : Springer | Use R!, ISSN 2197-5736 | 2008This is the first book on applied econometrics using the R system for statistical computing and graphics. It presents hands-on examples for a wide range of econometric models, from classical linear regression models for cross-section, time serie[...]ouvrage
R. Bivand, - Auteur ; E. Pebesma, - Auteur ; V. Gómez-Rubio, - Auteur | London [GBR] : Springer | Use R!, ISSN 2197-5736 | 2013Applied Spatial Data Analysis with R, second edition, is divided into two basic parts, the first presenting R packages, functions, classes and methods for handling spatial data. This part is of interest to users who need to access and visualise [...]ouvrage
Since its inception, R has become one of the preeminent programs for statistical computing and data analysis. The ready availability of the program, along with a wide variety of packages and the supportive R community make R an excellent choice [...]ouvrage
Borcard, D., - Auteur ; F. Gillet, - Auteur ; Pierre Legendre, - Auteur | London [GBR] : Springer | Use R!, ISSN 2197-5736 | 2011Numerical Ecology with R provides a long-awaited bridge between a textbook in Numerical Ecology and the implementation of this discipline in the R language. After short theoretical overviews, the authors accompany the users through the explorati[...]ouvrage
Borcard, D., - Auteur ; F. Gillet, - Auteur ; Pierre Legendre, - Auteur | London [GBR] : Springer | Use R!, ISSN 2197-5736 | 2018ouvrage
Numerical ecology with R provides a long-awaited bridge between a textbook in numerical ecology and the implementation of this discipline in the R language.