search for: gmat

Please I am new to R. I got the following code from a friend:   gmat <- cbind(gmat,p*(1-p)*wxb) for (j in seq(1:ncol(gmat))) {   gmat[,j] <- fitted(lm(gmat[,j]~zmat)) }   It is for spatial logit.   After defining all the matrices in it such as P, wxb, gmat, and zmat, I tried to run it in R and got the following error message: Error in model.frame.default(form...

...##################################################################### > # Create model > model <- SS(y = matrix(y_), + Fmat = function(tt, x, phi) { + FM <- mat + cat("Fmat", dim(FM), "\n") + FM + }, + Gmat = function(tt, x, phi) { + GM <- mat + cat("Gmat", dim(GM), "\n") + GM + }, + Vmat = function(tt, x, phi) { + VM <- mat + cat("Vmat", dim(VM), "\n") + VM + }, # va...

Hey All, I downloaded winebottler so that I can run the GMAT Prep software and was successful in downloading it but i am now running into a few problems. For examples, if there is a "next" icon on the window, I will need to click on it and hit the space bar simultaneously to move on to the next page. I was able to do this on the writing assessment...

I am trying to write the following code in R. The code works in S+ and i am trying to do the program in R. x=discrim(admit~gpa+gmat,prior=c("uniform"),data=data.mm) i wrote the following in R: x=lda(admit~gpa+gmat,data=data.mm) i could not figure out how to write prior=c("uniform") in R. I would get an error every time. I think that it has something to do with "uniform". Do you know what i...

...1:10 x.vel <- c(0,diff(x.coords)/diff(times)) y.vel <- c(0,diff(y.coords)/diff(times)) kal.df <- data.frame(x.coords,x.vel,y.coords,y.vel) kal.ts <- ts(kal.df,deltat=mean(diff(times))) my.Fmat <- function(tt,x,phi){ mf <- matrix(c(1,0,0,0,0,1,0,0),nrow=4,byrow=T) return(mf) } my.Gmat <- function(tt,x,phi){ mat <- matrix(c(1,x[[1]][tt],0,0,0,1,0,0,0,0,1,x[[1]][tt],0,0,0,1),nrow=4,byrow=T) return(mat) } my.Wmat <- function(tt,x,phi){ row.1 <- c((x[[1]][tt]^4)/4,(x[[1]][tt]^3)/2,(x[[1]][tt]^4)/4,(x[[1]][tt]^3)/2) row.2 <- c((x[[1]][tt]^3)/2,x[[1]][tt]^2,(x[[1]]...

...a number of different permutations. I do have a copy of the Petris book, but I haven't had a chance to give it a thorough read at this point. Any assistance would be greatly appreciated: Example code: #n x p output matrix FMat<-cbind(rnorm(123),rnorm(123)) #p x p state transition matrix GMat<-matrix(c(1,0,0,1),ncol=2) #p x p system noise distribution WMat<-matrix(c(0.02,0,0,0.02),ncol=2) # nxn measurement noise Vmat<-matrix(0,ncol=123,nrow=123) diag(Vmat)<-0.02 #initial state mean and variance m0Vec<-c(1,1) c0Vec<-c(0.05,0.05) ssMod<-dlm(FF=FMat,V=Vmat,GG=GMat,W...

Test =) soddsjbmshdwqwu -- Test, yep.

Dear R-Users, I'm using SSPIR package for a spatio-temporal application. Is it possible to modify the structure of the involved matrixes (Fmat, Gmat, Vmat,Wmat)? I want to create a model like this #y(t)=k*theta(t)+epsilon(t) #theta(t)=h*theta(t-1)+eta(t) #epsilon(t) N(0,V) V=sigma2*I #eta(t) N(0,W) W=sigma2_eta where the state variable theta has dimension 1(p=1) and at each time time the observed variable y has dimension eq...

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