Dear list:
Before going into my problem, R list has been awesome for me ...thank you
for the help. I have a simple problem, however I could get a answer to it...
#my data
myseed <- c(1001:1030)
gend <- function(x){
set.seed(x)
var <- rep(1:4, c(rep(4, 4)))
vary <- rnorm(length(var), 50, 10)
mat <- matrix(sample(c(-1,0,1), c(10*length(var)), replace = TRUE), ncol =
10)
mydat <- data.frame(var, vary, mat)
#filename = paste("file", x, ".txt", sep="")
#save(mydat, list = filename, file = "my.Rdata")
}
lapply (myseed, gend)
This works and I can create 30 random data set in the list. So far so good.
My individual data are huge ( 1 million datapoints each) and I need to
generate > 2000 data set. So it may not be good strategy to write as *.csv
file and read with take a lot of computing time.
My attempt is to output and save individual Rdata sets and load it using
load ("my.Rdata") function. It is more fast this way. But could not figure
out how to do it !!!!!!!!!!!!!!!
In above function I have put # some of my attempt to solve this problem....
Any suggestions ....thank you...
-
Ram H
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