Hey everyone, I know I've come across this somewhere, in either the blue or white books or in one of the help docs but I can't put my hand on it. What's the name of the statistical notation used in R? responseVar ~ anExplantory:anotherExplantory + thridExplantory Is this part of a coherent framework of notation that is as applicable to models which are not generalized linear models as to glms? Are there alternative systems of notation which are equally effective or even more general that any of you could point me towards? I'm working on spatial analysis, including spatial stats, and trying to understand the consequence of notation on the ability to do analysis. thanks for any pointers, adrian Adrian Custer Dept. of Entomology U.C. Berkeley -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the "body", not the subject !) To: r-help-request at stat.math.ethz.ch _._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._
the name of the statistical notation in R
2 messages · Adrian Custer, Brian Ripley
On 2 Jul 2002, Adrian Custer wrote:
Hey everyone, I know I've come across this somewhere, in either the blue or white books or in one of the help docs but I can't put my hand on it. What's the name of the statistical notation used in R? responseVar ~ anExplantory:anotherExplantory + thridExplantory Is this part of a coherent framework of notation that is as applicable to models which are not generalized linear models as to glms?
Yes (and it comes from linear models). It is a (slightly) modified
version of Rogers-Wilkinson notation
@Article{Wilkinson.Rogers.73,
author = "G. N. Wilkinson and C. E. Rogers",
title = "Symbolic description of factorial models for analysis of
variance",
journal = "Applied Statistics",
volume = "22",
pages = "392--399",
year = "1973",
comment = "Reference from MASS",
}
also used by Genstat and GLIM.
Brian D. Ripley, ripley at stats.ox.ac.uk Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/ University of Oxford, Tel: +44 1865 272861 (self) 1 South Parks Road, +44 1865 272860 (secr) Oxford OX1 3TG, UK Fax: +44 1865 272595 -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the "body", not the subject !) To: r-help-request at stat.math.ethz.ch _._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._