Re: [R] Is SEM package of R suitable for sem analysis
A few years ago it could have been true, but now the package has improved (especially with the bootstrap procedure). At the moment there is no argument to recommend AMOS. Of course, some software like Mplus are actually better, but very specialized (and rather expensive). This is only a personal point of view. Bruno Bruno Falissard INSERM U669, PSIGIAM "Paris Sud Innovation Group in Adolescent Mental Health" Maison de Solenn 97 Boulevard de Port Royal 75679 Paris cedex 14, France tel : (+33) 6 81 82 70 76 fax : (+33) 1 58 41 28 43 web site : http://perso.wanadoo.fr/bruno.falissard/ -Message d'origine- De : r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] De la part de Reeyarn_???_10928113 Envoyé : samedi 26 décembre 2009 12:50 À : R-help@r-project.org Objet : [R] Is SEM package of R suitable for sem analysis Dears, I'm a college student and In doing my statistics homework. I use R with SEM package as my tool for sem analysis, but my teacher told me AMOS is more suitable for such analysis. Could someone help tell me whether it is true that some commercial software is better accepted in academic fields? Sorry if I should not post such topics here. -- Best Regards, Reeyarn T. Lee Accounting Dept, Guanghua School of Management, Peking University, Beijing, P.R. China __ 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. __ 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.
Re: [R] PCA and automatic determination of the number of components
You can also use parallel analysis using the scree.plot function of the "psy" package. Regards, Bruno ---- Bruno Falissard INSERM U669, PSIGIAM "Paris Sud Innovation Group in Adolescent Mental Health" Maison de Solenn 97 Boulevard de Port Royal 75679 Paris cedex 14, France tel : (+33) 6 81 82 70 76 fax : (+33) 1 58 41 28 43 web site : http://perso.wanadoo.fr/bruno.falissard/ -Message d'origine- De : r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] De la part de nikolay12 Envoyé : lundi 20 avril 2009 05:38 À : r-help@r-project.org Objet : [R] PCA and automatic determination of the number of components Hi all, I have relatively small dataset on which I would like to perform a PCA. I am interested about a package that would also combine a method for determining the number of components (I know there are plenty of approaches to this problem). Any suggestions about a package/function? thanks, Nick -- View this message in context: http://www.nabble.com/PCA-and-automatic-determination-of-the-number-of-compo nents-tp23129941p23129941.html Sent from the R help mailing list archive at Nabble.com. __ 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. __ 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.
Re: [R] concordance correlation coefficient using R
You can look at the fonction icc in the package psy. Best regards, Bruno Bruno Falissard INSERM U669, PSIGIAM "Paris Sud Innovation Group in Adolescent Mental Health" Maison de Solenn 97 Boulevard de Port Royal 75679 Paris cedex 14, France tel : (+33) 6 81 82 70 76 fax : (+33) 1 58 41 28 43 web site : http://perso.wanadoo.fr/bruno.falissard/ -Message d'origine- De : [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED] De la part de paul murima Envoyé : dimanche 7 décembre 2008 16:23 À : r-help@r-project.org; [EMAIL PROTECTED] Objet : [R] concordance correlation coefficient using R Hi. I have data which i would want to assess the degree of agreement between two assays, e.g., to evaluate reproducibility or for inter-rater reliability. I have used the Pearson product-moment correlation coefficient. It looks good ranginging between 0.90 to 0.998. Though this looks good. I am told the Concordance correlation coefficient will give a better picture of how reproducible the assay is. Does any one know how to run such a test using R? If so can you kindly provide the code, and bit of explanations to spruce it up? Thank you Paul __ 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. __ 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.
Re: [R] R package to perform Horn's parallel analysis
And also scree.plot psy package. Bruno Falissard INSERM U669, PSIGIAM "Paris Sud Innovation Group in Adolescent Mental Health" Maison de Solenn 97 Boulevard de Port Royal 75679 Paris cedex 14, France tel : (+33) 6 81 82 70 76 fax : (+33) 1 58 41 28 43 web site : http://perso.wanadoo.fr/bruno.falissard/ -Message d'origine- De : [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED] De la part de William Revelle Envoyé : mardi 26 février 2008 16:44 À : Karen Douglas; R-help@r-project.org Objet : Re: [R] R package to perform Horn's parallel analysis see fa.parallel in the psych package At 7:27 AM -0800 2/26/08, Karen Douglas wrote: >I am seeking information on whether anyone has written code to perform >Horn's parallel analysis (a procedure that informs the selection of the >proper number of components in PCA) in R. > > > >Thank you in advance for any help you can provide. Please respond >off-list at the email address below. > >Karen Douglas > > > >*** > >Karen Douglas, PhD > >Status of Reading Instruction Institute > >Associate Director, Research and Policy > >International Reading Association > >444 North Capitol St. NW > >Suite 524 > >Washington, DC 20001 > >[EMAIL PROTECTED] > > > >Phone: 202-624-8473 > >Fax: 202-624-8826 > > > > > > > [[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. -- William Revelle http://personality-project.org/revelle.html Professor http://personality-project.org/personality.html Department of Psychology http://www.wcas.northwestern.edu/psych/ Northwestern University http://www.northwestern.edu/ Use R for statistics: http://personality-project.org/r __ 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. __ 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.
