[R] multilevel sampling weight
Anyone is working with the upgrade of any multilevel package for apply sampling weights? Thanks [[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.
[R] foreign package problem with stata 13
foreign package does not support dataset saved at stata 13. anyone knows any wayt to make it works? [[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.
Re: [R] foreign package problem with stata 13
The thing is, the oldest version in wich stata 13 save, is stata12. I can use this, but would be a good momento to upgrade foreign package. thanks a lot anyways!!! On Wed, Oct 2, 2013 at 8:04 PM, Richard Kwock richardkw...@gmail.comwrote: Use saveold instead of save when you save your dataset in stata. I don't think foreign library in R supports stata 13 yet. Richard On Wed, Oct 2, 2013 at 3:11 PM, Pablo Menese Camargo pmen...@gmail.com wrote: foreign package does not support dataset saved at stata 13. anyone knows any wayt to make it works? [[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. [[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.
Re: [R] SEM polychoric
I'm using lavaan indeed On Mon, Aug 12, 2013 at 6:21 AM, Jose Iparraguirre jose.iparragui...@ageuk.org.uk wrote: Hi Pablo, Prof John Fox is a frequent contributor to this forum, and no-one is better placed than him to respond on your particular point, but I would use the sem and the polycor packages. There's an example in the documentation of sem which uses polychoric correlations. Incidentally you haven't said which packages you'd used -lavaan perhaps?. Please do let the forum know which packages you use whenever posting a question. Regards, José Prof. José Iparraguirre Chief Economist Age UK Profesor de Economía Universidad de Morón Morón, Buenos Aires, Argentina -Original Message- From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] On Behalf Of Pablo Menese Camargo Sent: 12 August 2013 02:37 To: R help Subject: [R] SEM polychoric I have this mcfa- impulsivity=~imp1r+imp2+imp3+imp4 physical=~phys1+phys2+phys3+phys4 risky=~risk1+risk2+risk3+risk4 selfish=~self1+self2+self3+self4 simple=~simp1+simp2+simp3+simp4r temper=~temp1+temp2+temp3+temp4 control=~impulsivity+physical+risky+selfish+simple+temper where: the model is a second order CFA the variables are dichotomic (0-1) and I would like to use polychoric when I have the same items but polytomous i use fitcfa - cfa(mcfa, data = data_analisis) summary(fitcfa, standardized = TRUE, fit.measure=TRUE) standardizedSolution(fitcfa, type = std.all) anyone know what y should do to apply polychoric? [[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. The Wireless from Age UK | Radio for grown-ups. www.ageuk.org.uk/thewireless If youre looking for a radio station that offers real variety, tune in to The Wireless from Age UK. Whether you choose to listen through the website at www.ageuk.org.uk/thewireless, on digital radio (currently available in London and Yorkshire) or through our TuneIn Radio app, you can look forward to an inspiring mix of music, conversation and useful information 24 hours a day. --- Age UK is a registered charity and company limited by guarantee, (registered charity number 1128267, registered company number 6825798). Registered office: Tavis House, 1-6 Tavistock Square, London WC1H 9NA. For the purposes of promoting Age UK Insurance, Age UK is an Appointed Representative of Age UK Enterprises Limited, Age UK is an Introducer Appointed Representative of JLT Benefit Solutions Limited and Simplyhealth Access for the purposes of introducing potential annuity and health cash plans customers respectively. Age UK Enterprises Limited, JLT Benefit Solutions Limited and Simplyhealth Access are all authorised and regulated by the Financial Services Authority. -- This email and any files transmitted with it are confidential and intended solely for the use of the individual or entity to whom they are addressed. If you receive a message in error, please advise the sender and delete immediately. Except where this email is sent in the usual course of our business, any opinions expressed in this email are those of the author and do not necessarily reflect the opinions of Age UK or its subsidiaries and associated companies. Age UK monitors all e-mail transmissions passing through its network and may block or modify mails which are deemed to be unsuitable. Age Concern England (charity number 261794) and Help the Aged (charity number 272786) and their trading and other associated companies merged on 1st April 2009. Together they have formed the Age UK Group, dedicated to improving the lives of people in later life. The three national Age Concerns in Scotland, Northern Ireland and Wales have also merged with Help the Aged in these nations to form three registered charities: Age Scotland, Age NI, Age Cymru. [[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.
[R] SEM polychoric lavaan
I have this mcfa- impulsivity=~imp1r+imp2+imp3+imp4 physical=~phys1+phys2+phys3+phys4 risky=~risk1+risk2+risk3+risk4 selfish=~self1+self2+self3+self4 simple=~simp1+simp2+simp3+simp4r temper=~temp1+temp2+temp3+temp4 control=~impulsivity+physical+risky+selfish+simple+temper where: the model is a second order CFA the variables are dichotomic (0-1) i'm using lavaan and I would like to use polychoric when I have the same items but polytomous i use fitcfa - cfa(mcfa, data = data_analisis) summary(fitcfa, standardized = TRUE, fit.measure=TRUE) standardizedSolution(fitcfa, type = std.all) anyone know what y should do to apply polychoric? [[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.
[R] SEM polychoric
I have this mcfa- impulsivity=~imp1r+imp2+imp3+imp4 physical=~phys1+phys2+phys3+phys4 risky=~risk1+risk2+risk3+risk4 selfish=~self1+self2+self3+self4 simple=~simp1+simp2+simp3+simp4r temper=~temp1+temp2+temp3+temp4 control=~impulsivity+physical+risky+selfish+simple+temper where: the model is a second order CFA the variables are dichotomic (0-1) and I would like to use polychoric when I have the same items but polytomous i use fitcfa - cfa(mcfa, data = data_analisis) summary(fitcfa, standardized = TRUE, fit.measure=TRUE) standardizedSolution(fitcfa, type = std.all) anyone know what y should do to apply polychoric? [[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.
[R] eRm package, RSM: Error in solve.default(parets$hessian) :
I want to make an index using IRT, I use eRm package. I have a data frame (24 items, 4 categories, 427 cases) that works if I use PCM (partial credit model), but, when I run RSM (rating scale model) this appear: Error in solve.default(parest$hessian) : Lapack routine dgesv: system is exactly singular: U[14,14] = 0 By mistake I recoded the items in three categories, and works the RSM, but when I realized I recoded to four again and nothing... the same error. Anyone? THANKS!!! [[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.
