search for: tim1

...age.After searching > the internet,I get this solution: > > #begin > rm(list=ls()) > f<-file("D:\wvsevs_sb_v4.csv","r") > i <- 0 > done <- FALSE > library(RSQLite) > con<-dbConnect("SQLite","c:\sqlite\database.db3") > tim1<-Sys.time() > > while(!done){ > i<-i+1 > tt<-readLines(f,2500) > if (length(tt)<2500) done <- TRUE > tt<-textConnection(tt) > if (i==1) { > assign("dat",read.table(tt,head=T,sep=",",quote="")); > } > e...

Hi, I am trying to write a loop to recode my data from -999 to NA in R. What's the most efficient way to do this? Below is what I'm presently doing, which is inefficient. Thanks, Chris dat0 <- read.table("time1.dat") colnames(dat0) <- c("e1dq", "e1arcp", "e1dev", "s1prcp", "s1nrcp", "s1ints",

[ronggui] >R's week when handling large data file. I has a data file : 807 vars, >118519 obs.and its CVS format. Stata can read it in in 2 minus,but In >my PC,R almost can not handle. my pc's cpu 1.7G ;RAM 512M. Just (another) thought. I used to use SPSS, many, many years ago, on CDC machines, where the CPU had limited memory and no kind of paging architecture. Files did

I'd love to tote a 'bells and whistles' sub-notebook though the ?800.00 plus price tag for a 10-12" screen machine which can effectively run XP or Vista and CS4 is too much considering I already own a large Tosh notebook (which I'm unwilling to haul overseas...) and two powerful desktops. So I'm considering a cheaper, less capable sub-notebook, perhaps something around