search for: gridtripl

...local * sigma P <- mu+sysvar write.table(P,"sysv",row.names=F,col.names=F) I get the following message when I run it for 4096 points and last few values of the data set appear 0 "different grid distances detected, but the grid must have equal distances in each direction -- try gridtriple=TRUE that avoids numerical errors." The program runs fine for less number of points. I am not able to understand the error. Can anyone please help regarding this? Also, the maximum memory for the R software is 1535MBytes [ obtained by doing memory.limit(size=NA) ] Sometime I get the out of...

...s length 99, not 100 as expected. Code reproducing the problem follows: library(RandomFields) set.seed(123) sim0 <- GaussRF(x=seq(0, 100, by=1), y=seq(0, 100, by=1), grid=TRUE, model="spherical", param=c(0, 1, 0, 10), trend=NULL, n=9, gridtriple=FALSE) simmatrices <- function(arr) # arr must be an array of rank 3 { d <- dim(arr) n1 <- d[1]; n2 <- d[2] # we suppose d[3]==9 res <- vector(length=n1*n2, mode="list") dim(res) <- c(n...

...200.0, 0.025) >> y <- c(0, 1450.0, 0.025) >> >> model <- "stable" >> scale <- 0.1 >> alpha <- 2 >> mean <- 0 >> variance <- 1.0 >> nugget <- 0 >> >> f <- GaussRF(x=x, y=y, model=model, grid=TRUE, gridtriple=TRUE, > + param=c(mean, variance, nugget, scale,alpha)) > Error: cannot allocate vector of size 3625515 Kb > In addition: Warning messages: > 1: Reached total allocation of 2560Mb: see help(memory.size) > 2: Reached total allocation of 2560Mb: see help(memory.size) &...