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 <teb...@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 <dwinsem...@comcast.net> > Sent: Sunday, September 11, 2022 11:50 PM > To: Ebert,Timothy Aaron <teb...@ufl.edu>; Luigi Marongiu > <marongiu.lu...@gmail.com> > Cc: r-help <r-help@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-boun...@r-project.org> On Behalf Of Luigi > > Marongiu > > Sent: Sunday, September 11, 2022 3:02 AM > > To: David Winsemius <dwinsem...@comcast.net> > > Cc: r-help <r-help@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 <dwinsem...@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@r-project.org mailing list -- To UNSUBSCRIBE and more, see > > https://nam10.safelinks.protection.outlook.com/?url=https%3A%2F%2Fstat > > .ethz.ch%2Fmailman%2Flistinfo%2Fr-help&data=05%7C01%7Ctebert%40ufl > > .edu%7C1dcd24dd7d3f415768d308da9471f65d%7C0d4da0f84a314d76ace60a62331e > > 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 > > https://nam10.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.r > > -project.org%2Fposting-guide.html&data=05%7C01%7Ctebert%40ufl.edu% > > 7C1dcd24dd7d3f415768d308da9471f65d%7C0d4da0f84a314d76ace60a62331e1b84% > > 7C0%7C0%7C637985514593519914%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwM > > DAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C& > > sdata=oxdhuTBv3NWlhalSpYYVYa6zIfpoaqLgUzRfCXxc%2FbQ%3D&reserved=0 > > and provide commented, minimal, self-contained, reproducible code. -- Best regards, Luigi ______________________________________________ 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.
