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]]
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 <phaedrusv at 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 at 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. >[[alternative HTML version deleted]]
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 <phaedrusv at gmail.com > <mailto:phaedrusv at 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 at r-project.org <mailto:R-help at 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]]
>>>>> Eric Berger >>>>> on Thu, 20 Sep 2018 23:28:27 +0300 writes:> 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 Well, but MDS is "old" and already available in standard R in its classical form:> apropos("MDS")[1] "cmdscale"> ?cmdscale # "Classical Multidimensional Scaling"then gives the help page for 'cmdscale' which in its 'See Also:' mentions the isomds() sammon() functions from package MASS which (as formally "Recommended" pkg) is part of every full R installation. So, at first, there's no need for any extra package... > HTH, > Eric > On Wed, Sep 19, 2018 at 2:00 PM, Andrew <phaedrusv at 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 at 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. >> > [[alternative HTML version deleted]] > ______________________________________________ > R-help at 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.
Smallest space analysis (SSA) is just the name given to software
developed by Guttman & Lingoes around the time the various versions
of multidimensional scaling were being developed. Call it Israeli MDS
or Falafel MDS if you prefer. The reason you encountered it in your
course is presumably that the instructor was trained in that.
There are several variants of MDS-like algorithms for embedding
points representing objects in a space, using data representing
similarities or distances among objects -- metric (cmdscale)
and non-metric (MASS::isoMDS), using only rank order information, and a
variety of
measures of goodness-of-fit ("stress"). I don't recall the
details
of the SSA programs, but that should matter little conceptually.
The smacof package offers the widest array of possibilities.
-Michael
On 9/19/2018 7:00 AM, Andrew 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]]
>
Hi Michael This looks like it could be really helpful in moving my project forwards thank you. I remember many years ago using (proprietary) software from the University of Liverpool which did a nice job of allowing regions to be defined, and then for the space to be rotated to obtain visual inspection of relative distance from different angles. I appreciate that smacof will not do that, but as long as the analysis allows for the graph to be plotted and analysed, that's what's important. Thank you again, and to all of those who responded. Best wishes Andrew On 21/09/18 14:07, Michael Friendly wrote:> Smallest space analysis (SSA) is just the name given to software > developed by Guttman & Lingoes around the time the various versions > of multidimensional scaling were being developed.? Call it Israeli MDS > or Falafel MDS if you prefer. The reason you encountered it in your > course is presumably that the instructor was trained in that. > > There are several variants of MDS-like algorithms for embedding > points representing objects in a space, using data representing > similarities or distances among objects -- metric (cmdscale) > and non-metric (MASS::isoMDS), using only rank order information, and > a variety of > measures of goodness-of-fit ("stress").? I don't recall the details > of the SSA programs, but that should matter little conceptually. > > The smacof package offers the widest array of possibilities. > > -Michael > > > On 9/19/2018 7:00 AM, Andrew 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]] >> > >