Displaying 2 results from an estimated 2 matches for "sfexportall".
2012 Jun 28
1
undefined S4 class in parallel computing at snowfall
...39;, cc = "catt"))
f1 <- function(y1) { new('catt', aa = y1 + 1) }
f3 <- function(y2, y3) { new('dogg', bb=c(y2, 'GA'), cc = f1(y3)) }
dat <- 1:5
f1(dat)
f3('NY', dat)
sapply(c("state1", 'state2', 'state3'), f3, dat)
sfExportAll()
sfClusterEval(ls())
sfSapply(c("s1", 's2', 's3'), f3, dat)
sfStop()
# sfSapply generates the following error
# Error in checkForRemoteErrors(val) :
# 2 nodes produced errors; first error: "dogg" is not a defined class
=== end =============
--
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2016 Apr 28
0
Snowfall - Error in checkForRemoteErrors(val) with sfClusterApplyLB()
Hello,
I'm trying to run a code that uses the snowfall package. Here is the structure of my code.
sfInit(parallel=T, cpus = 5, slaveOutfile="ErrorMessage.txt")
sfExportAll()
sfLibrary(rgdal)
sfLibrary(raster)
sfLibrary(sp)
sfLibrary(rgeos)
sfLibrary(snowfall)
system.time( sfClusterApplyLB(1:10, function(k) {
sfCat(paste("Iteration ", k), sep="\n")
if (......) {
} else {
if (class(ob1)=="SpatialCollections") {
ob2 &...