I like this book, and I learned many handy tricks for R. But I am confused, for instance, about density estimation. In section 7.2.1 authors describe classic kernel density estimator which can be found even on Wikipedia. However, in documentation of density() it is clearly stated that FFT is used, w
A handbook of statistical analyses using R
โ Scribed by Brian S. Everitt, Torsten Hothorn
- Publisher
- Chapman & Hall/CRC
- Year
- 2006
- Tongue
- English
- Leaves
- 281
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
R is dynamic, to say the least. More precisely, it is organic, with new functionality and add-on packages appearing constantly. And because of its open-source nature and free availability, R is quickly becoming the software of choice for statistical analysis in a variety of fields.Doing for R what E
R is dynamic, to say the least. More precisely, it is organic, with new functionality and add-on packages appearing constantly. And because of its open-source nature and free availability, R is quickly becoming the software of choice for statistical analysis in a variety of fields.Doing for R what E
A Proven Guide for Easily Using R to Effectively Analyze Data Like its bestselling predecessor, A Handbook of Statistical Analyses Using R, Second Edition provides a guide to data analysis using the R system for statistical computing. Each chapter includes a brief account of the relevant statistical
A Proven Guide for Easily Using R to Effectively Analyze Data Like its bestselling predecessor, A Handbook of Statistical Analyses Using R, Second Edition provides a guide to data analysis using the R system for statistical computing. Each chapter includes a brief account of the relevant statistica