Hi William, Thanks for the update. I see this package has so many capabilities ! I will suggest further for its development if anything else comes to my mind.
Regards, Sagnik On Thu, May 15, 2014 at 6:34 AM, William Revelle <li...@revelle.net> wrote: > Sagnik, > > I did some more checking and in fact you can do equamax through GPA > rotation. (Gunter Nickel pointed this out in a post to R-help). I will > implement this in version 1.4.6 (1.4.5 is now working its way through the > various CRAN mirrors). > > You might like 1.4.5 in that I have added various ways of displaying > confidence intervals (cats eye plots) as well as upper and lower confidence > limits for correlations (cor.plot.upperLowerCi) > > Bill > > On Apr 10, 2014, at 1:22 AM, sagnik chakravarty <sagnik.st...@gmail.com> > wrote: > > > Thanks a lot Bill and Revelle for your helpful response. > > It would have been great if I could know when we can expect the release > of the edited version 1.4.4. > > > > Sagnik > > > > > > On Wed, Apr 9, 2014 at 8:05 PM, William Revelle <li...@revelle.net> > wrote: > > Sagnik raises the question as to why the psych package does not offer > the âequamaxâ rotation. > > It is because all rotations are handled through the GPArotation package > which does not offer equamax. > > > > Sagnik also points out that if the requested rotation is not available, > fa defaults to rotate=ânoneâ without any warning. I have fixed that for > the next release (1.4.4). > > (1.4.4 also will fix a bug in corr.test introduced into 1.4.3). > > > > > > The question about why printing just the loadings matrix leaves blank > cells? That is because the loadings matrix of class âloadingsâ which the > default print function prints with a cut = .3. > > Using the example from Sagnik, print(efa_pa$loadings,cut=0) will match > the output of efa_pa. > > > > The fm=âpaâ option runs conventional principal axis factor analysis (ala > SPSS). As documented, this iterates max.iter times > > > > "Not all factor programs that do principal axes do iterative solutions. > The example from the SAS manual (Chapter 26) is such a case. To achieve > that solution, it is necessary to specify that the max.iterations = 1. > Comparing that solution to an iterated one (the default) shows that > iterations improve the solution. In addition, fm="minres" or fm="mle" > produces even better solutions for this example.â > > > > The com column is factor complexity using the index developed by Hofmann > (1978). It is a row wise measure of item complexity. > > I have added more documentation to this in 1.4.4 > > > > Bill > > > > > > On Apr 8, 2014, at 2:28 AM, Pascal Oettli <kri...@ymail.com> wrote: > > > > > Hello, > > > > > > And what about submitting your suggestions directly to the package > > > author/maintainer? > > > > > > And please don't post in HTML. > > > > > > Regards, > > > Pascal > > > > > > On Tue, Apr 8, 2014 at 3:13 PM, sagnik chakravarty > > > <sagnik.st...@gmail.com> wrote: > > >> Hi Team, > > >> > > >> I was using your "psych" package for factor analysis and was also > comparing > > >> the results with SAS results. I have some suggestions and/or > confusions > > >> regarding the fa() function in the package: > > >> > > >> - The fa() function *doesn't account for Heywood cases* (communality > > >> greater than 1) and never ever throws out any error related to that > which > > >> other softwares do. This is a serious and common issue in iterative > factor > > >> analysis and hence should have been accounted for. > > >> > > >> > > >> - The fa() function doesn't provide "equamax" rotation in its > rotation > > >> list and still if you specify "*rotation=equamax*", it will run > without > > >> throwing out any error and even mentioning in the result that > "equamax" has > > >> been applied. But I have thoroughly compared results from " > > >> *rotation=none*" and "*rotation=equamax*" options and they are > exactly > > >> same. *That means fa() is not doing the rotation at all and yet > telling > > >> that it is doing that!!* I have even mentioned "*rotation=crap*" > option > > >> just to check and surprisingly it ran(without any error) with the > result > > >> showing: > > >> > > >> *Factor Analysis using method = gls* > > >> * Call: fa(r = cor_mat, nfactors = 4, n.obs = 69576, rotate > = > > >> "crap", fm = "gls")* > > >> > > >> I hope you understand the severity of this bug and hence > > >> request you to correct this. > > >> > > >> - To my sense, there might be some problem with "fm=ml" and "fm=pa" > > >> options since the convergence issue should be with MLE method and > not PA > > >> method but while running factor analysis with PA, I am getting the > > >> following warning: > > >> > > >> *maximum iteration exceeded* > > >> * The estimated weights for the factor scores are probably > > >> incorrect. Try a different factor extraction method.* > > >> > > >> If I compare the results of R and SAS,* I am getting > > >> convergence error for MLE in SAS whereas I am getting the same error > for PA > > >> in R *!! I am not being able to understand this mismatch. > > >> > > >> - If I call the *loading matrix like efa_pa$loadings, the matrix > shown > > >> has many blank cells whereas the final result showing the loadings > doesn't > > >> have so* !! > > >> > > >> *Loadings:* > > >> * PA1 PA2 PA3 PA4 * > > >> *Var1 0.401 -0.243* > > >> *Var2 0.336 -0.104 0.710* > > >> *Var3 0.624 0.123 0.170 * > > >> > > >> > > >> - Could you please explain* what the "com" column means* in the > output:? > > >> > > >> > > >> * PA1 PA3 PA2 PA4 h2 u2 com* > > >> *Var1 0.44 0.14 -0.03 -0.10 0.22665 0.773 1.3* > > >> *Var2 0.08 0.11 0.02 0.78 0.62951 0.370 1.1* > > >> *Var3 0.62 0.12 0.15 0.14 0.43578 0.564 1.3* > > >> > > >> - Request you to add option for *"equamax" rotation* also if > possible. > > >> > > >> > > >> I have come across the above issues until now. Please do correct me > if I am > > >> wrong. > > >> > > >> Awaiting your revert which would clear out my confusions, > > >> > > >> Thanks for your valuable time, > > >> > > >> Sagnik > > >> > > >> -- > > >> Regards, > > >> > > >> *SAGNIK CHAKRAVARTY* > > >> > > >> *Mob:* +919972865435 > > >> *Email:* sagnik.st...@gmail.com > > >> sagnik....@gmail.com > > >> > > >> [[alternative HTML version deleted]] > > >> > > >> ______________________________________________ > > >> R-help@r-project.org mailing list > > >> 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. > > > > > > > > > > > > -- > > > Pascal Oettli > > > Project Scientist > > > JAMSTEC > > > Yokohama, Japan > > > > > > ______________________________________________ > > > R-help@r-project.org mailing list > > > 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. > > > > > > > William Revelle > http://personality-project.org/revelle.html > > Professor > http://personality-project.org > > Department of Psychology http://www.wcas.northwestern.edu/psych/ > > Northwestern University http://www.northwestern.edu/ > > Use R for psychology http://personality-project.org/r > > It is 5 minutes to midnight http://www.thebulletin.org > > > > > > > > > > > > > > > > -- > > Regards, > > > > SAGNIK CHAKRAVARTY > > > > Mob: +919972865435 > > Email: sagnik.st...@gmail.com > > sagnik....@gmail.com > > William Revelle > http://personality-project.org/revelle.html > Professor http://personality-project.org > Department of Psychology http://www.wcas.northwestern.edu/psych/ > Northwestern University http://www.northwestern.edu/ > Use R for psychology http://personality-project.org/r > It is 5 minutes to midnight http://www.thebulletin.org > > > > > -- Regards, *SAGNIK CHAKRAVARTY* *Mob:* +919972865435 *Email:* sagnik.st...@gmail.com sagnik....@gmail.com [[alternative HTML version deleted]]
______________________________________________ R-help@r-project.org mailing list 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.