search for: distval

...sum(pop), sum(dwell), mean(age). I don't know how to write only those fields out to the file. Any suggestions? Thank you for your help, Danny ##### library(fields) d <- as.matrix( read.csv("filein.csv") ) for(i in 1:nrow(d)){ lonlat1 <- d[i,2:3] lonlat2 <- d[,2:3] distval <- d[,1] [which(rdist.earth( t( as.matrix(lonlat1) ), as.matrix(lonlat2), miles=F ) < 2)] write(distval,file="C:\\outfile.out",ncol=1, append=TRUE) } ##### -------------- Sample Input Data -------------- recid,lat,long,pop,dwell,age 10010265,47.5971174,-52.7039227,584,219,38 1001...

I have the code for the bivariate Gaussian copula. It is written with for-loops, it works, but I wonder if there is a way to vectorize the function. I don't see how outer() can be used in this case, but maybe one can use mapply() or Vectorize() in some way? Could anyone help me, please? ## Density of Gauss Copula rho <- 0.5 #corr R <- rbind(c(1,rho),c(rho,1)) #vcov matrix id <-

Is there any way to know how the "dmvt" function computes the hypergeometric function needed in the calculation for the density of multivariate t distribution? -- View this message in context: http://r.789695.n4.nabble.com/hypergeometric-function-in-mvtnorm-tp4483730p4483730.html Sent from the R help mailing list archive at Nabble.com.