Hi Eric I will need to dig into this a bit deeper, but this looks like it might hold some promise. The web link you shared seems familiar - perhaps I came across it but not at the site you linked to. I will read the sources with interest.
Thank you for bringing them to my attention. Regards, Andrew On 20/09/18 21:28, Eric Berger wrote: > Hi Andrew, > I don't have any experience in this area but I was intrigued by your > question. Here is what I learned. > > 1, A bit of poking around turned up a thread on stats.stackexchange > that mentions that "smallest space analysis" (SSA) is a special case > of "multidimensional scaling" (MDS). > See the thread here: > https://stats.stackexchange.com/questions/82462/guttmans-smallest-space-analysis > > 2. The R package SMACOF implements some solutions for MDS. See the > documentation "Multidimensional Scaling in R: SMACOF" available at > https://mran.microsoft.com/snapshot/2018-05-13/web/packages/smacof/vignettes/smacof.pdf > > HTH, > Eric > > > > On Wed, Sep 19, 2018 at 2:00 PM, Andrew <phaedr...@gmail.com > <mailto:phaedr...@gmail.com>> wrote: > > Hi > > As part of my forensics psych course, we have been introduced to > Guttman's smallest space analysis (SSA). I want to explore this > approach > using R, but despite finding some queries on the web about this same > thing, have yet to find any answers. The MASS package doesn't seem > to do > the job, and the only thing I have been able to find is some > proprietary > software HUDAP (Hebrew University Data Analysis Package) which > may/ not > be compatible with R (or GNU/Linux for that matter). > > Does anyone have information on how to do SSA using R? > > Many thanks > > Andrew > > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help@r-project.org <mailto:R-help@r-project.org> mailing list -- > To UNSUBSCRIBE and more, see > https://stat.ethz.ch/mailman/listinfo/r-help > <https://stat.ethz.ch/mailman/listinfo/r-help> > PLEASE do read the posting guide > http://www.R-project.org/posting-guide.html > <http://www.R-project.org/posting-guide.html> > and provide commented, minimal, self-contained, reproducible code. > > [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
