[R] multilevel sampling weight

2013-11-18 Thread Pablo Menese Camargo
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 gu

Re: [R] foreign package problem with stata 13

2013-10-02 Thread Pablo Menese Camargo
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 > wrote: > > foreign package does not support dataset saved at stata 13. > > anyone knows any wayt to make

[R] foreign package problem with stata 13

2013-10-02 Thread Pablo Menese Camargo
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

[R] SEM polychoric lavaan

2013-08-12 Thread Pablo Menese Camargo
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

Re: [R] SEM polychoric

2013-08-12 Thread Pablo Menese Camargo
g 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 [

[R] SEM polychoric

2013-08-11 Thread Pablo Menese Camargo
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

[R] eRm package, RSM: Error in solve.default(parets$hessian) :

2013-05-21 Thread Pablo Menese Camargo
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 sin