>>>>> 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 <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]]
>>
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> [[alternative HTML version deleted]]
> ______________________________________________
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