search for: sfclustereval

...t;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 ============= -- View this message in...

...QLConnection" error. (Of course the passed Connection Object is usable at that moment and afterwards!) (2) For the creation of DB connections on every node a function handling the whole connection is sourced into every node. This function works perfectly without snowfall. Calling it with > sfClusterEval(dbConnect()) again only expired connection objects are produced. Even if I create the connection 'a line above' the code which is connecting to the DB it doesn't work... Is there a possibility to connect to PostgreSQL using snowfall? -- with kind regards Florian

R-helpers: What would be the absolute fastest way to make a large "empty" file (e.g. filled with all zeroes) on disk, given a byte size and a given number number of empty values. I know I can use writeBin, but the "object" in this case may be far too large to store in main memory. I'm asking because I'm going to use this file in conjunction with mmap to do parallel

Greetings, I am trying to use Reference Class methods in Snowfall, using R 2.12.1 on Ubuntu Natty. Using then directly seems to work (stanza 2 below), but using them indirectly does not (stanza 3 below). I get an "attempt to apply non-function" error. In addition to exporting the instance of the object I created to the Snowfall slaves, I also made several attempts to export the