The R Reference Manual Base Package Volume 1

The R Reference Manual Base Package Volume 1

The first volume of the complete reference manual for the base package of GNU R, a free software environment for statistical computing and graphics. The main commands of the base package of R are described in this volume.

Publication date: 01 Jan 2004

ISBN-10: 0954612000

ISBN-13: n/a

Paperback: 736 pages

Views: 15,984

Type: N/A

Publisher: Network Theory Ltd

License: n/a

Post time: 11 Jun 2005 07:17:31

The R Reference Manual Base Package Volume 1

The R Reference Manual Base Package Volume 1 The first volume of the complete reference manual for the base package of GNU R, a free software environment for statistical computing and graphics. The main commands of the base package of R are described in this volume.
Tag(s): Computer Aided Mathematics
Publication date: 01 Jan 2004
ISBN-10: 0954612000
ISBN-13: n/a
Paperback: 736 pages
Views: 15,984
Document Type: N/A
Publisher: Network Theory Ltd
License: n/a
Post time: 11 Jun 2005 07:17:31
Book excerpts:

This manual is the first volume of the complete reference manual for the base package of GNU R, a free software environment for statistical computing and graphics. This volume documents the core commands in the base package of R. These commands include programming constructs, basic numerical functions and system calls. The base package commands are automatically available when the R environment is started.

The second companion volume 'The R Reference Manual - Base Package - Volume 2' (ISBN 0-9546120-1-9) contains documentation for commands for graphics, mathematics, distributions and random numbers, models, time-series and datasets. Together the first and second volumes document the complete base package of R (version 1.8.1).

All the reference manuals are written by the developers of R, and represent the definitive guide to the software. The manuals explain the use of each command in detail, with references, implementation notes and examples. Every volume includes a comprehensive index of entries listed by keyword and topic.

NOTE: You need both volumes for the complete documentation. The individual volumes are not intended to be used on their own.

Reviews:

Amazon.com
:) "For serious statistics research, why recode many functions from scratch? There are several proprietary alternatives, like SAS and S-Plus. But those are not the cheapest of items. Increasingly, others are turning towards an open source package, R. This book is the authoritative manual for R's base."
 




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