cc�ing to list, as requested in the posting guide, so that others may be able
to help you.
On Sep 14, 2014, at 8:45 AM, thanoon younis <thanoon.youni...@gmail.com> wrote:
> Thank you very much for your reply
>
> the output is
>
> > #Do simulation for 100 replications
> > N<-1000; P<-10
> >
> > phi<-matrix(data=c(1.0,0.3,0.3,1.0),ncol=2) #The covariance matrix of xi
> > Ro<-matrix(data=c(7.0,2.1,2.1,7.0), ncol=2)
> > yo<-matrix(data=NA,nrow=N,ncol=P) p<-numeric(P); v<-numeric(P)
> Error: unexpected symbol in "yo<-matrix(data=NA,nrow=N,ncol=P) p"
> >
> > for (t in 1:100) {
> + #Generate the data for the simulation study
> + for (i in 1:N) {
> + #Generate xi
> + xi<-mvrnorm(1,mu=c(0,0),phi)
> + #Generate the fixed covariates
> + co<-rnorm(1,0,1)
> + #Generate error term is structural equation
> + delta<-rnorm(1,0,sqrt(0.3))
> + #Generate eta1 according to the structural equation
> + eta<-0.8*co[i]+0.6*xi[1]+0.6*xi[2]+0.8*xi[1]*xi[2]+delta
> + #Generate error terms in measurement equations
> + eps<-rnorm(3,0,1)
> +
> + #Generate theta according to measurement equations
> + v1[1]<-1.0+eta+eps[1]; v1[2]<-1.0+0.7*eta+eps[2]
> + v1[3]<-1.0+0.7*eta+eps[3]
> + v1[4]<-1.0+xi[1]; v1[5]<-1.0+0.8*xi[1]; v1[6]<-1.0+0.8*xi[1]
> + v1[7]<-1.0+xi[2]; v1[8]<-1.0+0.7*xi[2]; v1[9]<-1.0+0.7*xi[2];
> + v1[10]<-1.0+0.7*xi1[2]
> +
> +
> + #transform theta to orinal variables
> + for (j in 1:10) { if (v[j]>0) yo[i,j]<-1 else yo[i,j]<-0 }
> +
> +
> + #Input data set for WinBUGS
> + data<-list(N=200,P=10,R=Ro,z=yo)
> +
> + } #end
> +
>
> also i cannot continue to get on a data.
>
>
> many thanks again
>
>
> Thanoon
>
>
>
> On 14 September 2014 18:41, Don McKenzie <d...@u.washington.edu> wrote:
> What errors? What is your output? What output did you expect?
>
> On Sep 14, 2014, at 6:56 AM, thanoon younis <thanoon.youni...@gmail.com>
> wrote:
>
> > Dear R members
> > I want to simulate data depending on SEM and when i applied the code below
> > i found some errors and i still cannot run it.
> > many thanks in advance
> >
> >
> > Thanoon
> >
> > #Do simulation for 100 replications
> > N<-1000; P<-10
> >
> > phi<-matrix(data=c(1.0,0.3,0.3,1.0),ncol=2) #The covariance matrix of xi
> > Ro<-matrix(data=c(7.0,2.1,2.1,7.0), ncol=2)
> > yo<-matrix(data=NA,nrow=N,ncol=P) p<-numeric(P); v<-numeric(P)
> >
> > for (t in 1:100) {
> > #Generate the data for the simulation study
> > for (i in 1:N) {
> > #Generate xi
> > xi<-mvrnorm(1,mu=c(0,0),phi)
> > #Generate the fixed covariates
> > co<-rnorm(1,0,1)
> > #Generate error term is structural equation
> > delta<-rnorm(1,0,sqrt(0.3))
> > #Generate eta1 according to the structural equation
> > eta<-0.8*co[i]+0.6*xi[1]+0.6*xi[2]+0.8*xi[1]*xi[2]+delta
> > #Generate error terms in measurement equations
> > eps<-rnorm(3,0,1)
> >
> > #Generate theta according to measurement equations
> > v1[1]<-1.0+eta+eps[1]; v1[2]<-1.0+0.7*eta+eps[2]
> > v1[3]<-1.0+0.7*eta+eps[3]
> > v1[4]<-1.0+xi[1]; v1[5]<-1.0+0.8*xi[1]; v1[6]<-1.0+0.8*xi[1]
> > v1[7]<-1.0+xi[2]; v1[8]<-1.0+0.7*xi[2]; v1[9]<-1.0+0.7*xi[2];
> > v1[10]<-1.0+0.7*xi1[2]
> >
> >
> > #transform theta to orinal variables
> > for (j in 1:10) { if (v[j]>0) yo[i,j]<-1 else yo[i,j]<-0 }
> >
> >
> > #Input data set for WinBUGS
> > data<-list(N=200,P=10,R=Ro,z=yo)
> >
> > } #end
> >
> > [[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.
>
> Don McKenzie
> Research Ecologist
> Pacific Wildland Fire Sciences Lab
> US Forest Service
>
> Affiliate Professor
> School of Environmental and Forest Sciences
> University of Washington
> d...@uw.edu
>
>
>
>
>
Don McKenzie
Research Ecologist
Pacific Wildland Fire Sciences Lab
US Forest Service
Affiliate Professor
School of Environmental and Forest Sciences
University of Washington
d...@uw.edu
[[alternative HTML version deleted]]
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