Belgium Network of Open Source Analytical Consultants – BNOSAC Location: Belgium Website: www.bnosac.be contact: info@bnosac.be Description: Statistical data mining, Python programming, Setup of analytical data marts, (Bio)Statistical consulting, Spatial data mining, BI, Large-scale prediction engines & automation. Support in R/Python/PostgreSQL/Pentaho/Geo-GIS
OpenAnalytics
OpenAnalytics Location: Belgium Website: www.openanalytics.eu Contact: info@openanalytics.eu
FOSS Finance
FOSS Finance Website: www.fossfinance.com Contact: See website Description: Financial Solutions using Free, Open Source Software. Please contact us for a free initial consultation.
Lemnica
Lemnica Website: www.lemnica.com Contact: See website Description: Specializes in R driven financial and economic modeling issues, with more general R expertise as well.
Statoo Consulting
Statoo Consulting Location: Switzerland Website: www.statoo.info Contact: info@statoo.com
Positioning charts with fig and fin
R offers several ways to spatially orient multiple graphs in a single graphing space. The layout() function and mfrow/mfcol parameter settings are adequate solutions for many tasks and allow the graphing space to be broken up into tabular or matrix-based arrangements. For more fine grained manipulation, the fig and fin parameter settings are available. This […]
Online R programming resources
R can legitimately be called both a programming language and a statistical package. Many books address both the programming and statistical components of R, but invariably the discussion of statistical topics is more detailed than the discussion of programming capabilities. As a supplement, I’ve started the list of links below. Each of these sources deals […]
A Handbook of Statistical Analyses Using R – Everitt and Hothorn (2006)
Title: A Handbook of Statistical Analyses Using R Author(s): Brian S. Torvitt; Torsten Hothorn Publisher/Date: Chapman & Hall/2006 Statistics level: Intermediate to advanced Programming level: Intermediate Overall recommendation: Highly recommended A Handbook of Statistical Analyses Using R addresses a list of several common statistical analyses in great detail. Over a course of 15 chapters, the […]
Controlling margins and axes with oma and mgp
When creating graphs, we’re usually most concerned with what happens near the center of our displays, as this is where most of the important information is generally held. But sometimes, either for aesthetics or clarity, we want to adjust what’s outside of the box – in the margins, labels or tick marks. The par() function […]
Data Analysis and Graphics Using R – Maindonald and Braun (2003)
Title: Data Analysis and Graphics Using R: An Example-Based ApproachAuthor(s): John Maindonald; John BraunPublisher/Date: Cambridge University Press/2003Statistics level: Intermediate to advancedProgramming level: Beginner to intermediate Overall recommendation: Highly recommended Data Analysis and Graphics Using R (DAAG) covers an exceptionally large range of topics. Because of the book’s breadth, new and experienced R users alike will […]