I see, so the plot in itself is rather NOT informative -- I need to
make one myself after knowing what groups are there... Fair enough.
Thank you.
On Mon, Sep 12, 2022 at 1:42 PM Ebert,Timothy Aaron <tebert at ufl.edu>
wrote:>
> Ok, in looking at the code that makes more sense. The code specifies three
groups, so there will be three colors. As the groups do not have meaning
(hopefully supplied by the user at a later date) there is no legend. They are
there to help the user see overlap between groups (none in this case).
>
> -----Original Message-----
> From: David Winsemius <dwinsemius at comcast.net>
> Sent: Sunday, September 11, 2022 11:50 PM
> To: Ebert,Timothy Aaron <tebert at ufl.edu>; Luigi Marongiu
<marongiu.luigi at gmail.com>
> Cc: r-help <r-help at r-project.org>
> Subject: Re: [R] Interpreting fa.diagram from package psych
>
> [External Email]
>
> On 9/11/22 07:17, Ebert,Timothy Aaron wrote:
> > It is a bad graphic as the legend that should explain the color coding
is missing. The next option is to copy the data and code and see if you can
reproduce the figure. You can then play with the code and read a bit about the
procedures to figure out what is going on. It should not be too hard. My guess
is that there is some additional variable with three states that is being used.
If this were the iris data set I would guess it was the three species: setosa,
versicolor, and virginica.
>
> Pretty sure that guess is incorrect.
>
> I'm not sure there should be a legend. The colors just indicate group
membership derived from a mathematical process that has attempted to separate
case into distinct groups that maximize the correlations within individual
groupings. And therefore maximizes the distance separating the groups. The
number of groups is specified in the function call. You should go to the earlier
results and see if you can construct the groupings to maximize internal
correlations. Psychometricians do this when they don't really have a
theoretical basis for doing classification and are asking the data do it for
them. If they are doing this on a questionnaire dataset, they often go back to
the specific questions/answer pairings within groupings and try to assign
meaning to them. They then build post-hoc explanations and often do further
studies to see if they can replicate the results and achieve some sort of stable
synthetic construct. It's a rather theory-free strategy and so trying to
assign labels automatically would be difficult.
>
> --
>
> David
>
> > Tim
> >
> > -----Original Message-----
> > From: R-help <r-help-bounces at r-project.org> On Behalf Of
Luigi
> > Marongiu
> > Sent: Sunday, September 11, 2022 3:02 AM
> > To: David Winsemius <dwinsemius at comcast.net>
> > Cc: r-help <r-help at r-project.org>
> > Subject: Re: [R] Interpreting fa.diagram from package psych
> >
> > [External Email]
> >
> > Sorry, the file was automatically downloaded and opened with the
browser instead of pointing to the webpage.
> > Here is a better link:
> > https://nam10.safelinks.protection.outlook.com/?url=https%3A%2F%2Fcran
> >
.r-project.org%2Fweb%2Fpackages%2FpsychTools%2Fvignettes%2Ffactor.pdf&
> > amp;data=05%7C01%7Ctebert%40ufl.edu%7C1dcd24dd7d3f415768d308da9471f65d
> > %7C0d4da0f84a314d76ace60a62331e1b84%7C0%7C0%7C637985514593519914%7CUnk
> > nown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWw
> >
iLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=lzFXWWfT0dWdXegsbLDuh5RcdW79
> > xJXTsN%2Bkj%2FuMrxo%3D&reserved=0
> > The figure is on page 22.
> > The question is: The dots have different colors; how do I know what
they represent?
> > Is there a way to show an auto-legend?
> > Thank you
> >
> > On Sat, Sep 10, 2022 at 11:33 PM David Winsemius <dwinsemius at
comcast.net> wrote:
> >>
> >> On 9/10/22 14:08, Luigi Marongiu wrote:
> >>> Hello,
> >>> I have plotted data from exploratory factor analysis, and I
got a
> >>> graph similar to FIGURE 11 (PAGE 36) of this link
> >>>
file:///home/gigiux/Downloads/An_overview_of_the_psych_package.pdf
> >> This appears to be a link you a file on your personal device
rather
> >> than an attachment.
> >>> How do I interpret the figure? In particular, how do I know
what the
> >>> colors represent?
> >>> Thank you
> >
> > --
> > Best regards,
> > Luigi
> >
> > ______________________________________________
> > R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see
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> > 1b84%7C0%7C0%7C637985514593519914%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4w
> > LjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C
> >
&sdata=hZSv1rtzkhlgMUvJO6jmHN1IIUDsVIa8PVeAo8KE0%2Fw%3D&reserv
> > ed=0 PLEASE do read the posting guide
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> >
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> > 7C1dcd24dd7d3f415768d308da9471f65d%7C0d4da0f84a314d76ace60a62331e1b84%
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DAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&
> >
sdata=oxdhuTBv3NWlhalSpYYVYa6zIfpoaqLgUzRfCXxc%2FbQ%3D&reserved=0
> > and provide commented, minimal, self-contained, reproducible code.
--
Best regards,
Luigi