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By: a guest on Nov 28th, 2014  |  syntax: None  |  size: 0.37 KB  |  views: 226  |  expires: Never
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  1. xfftrain <- as.ffdf(read.csv("train.csv", nrows = 1000, , colClasses = rep("factor", 24), header = TRUE))
  2. xfftest <- as.ffdf(read.csv("test.csv", nrows = 1000, , colClasses = rep("factor", 23), header = TRUE))
  3.  
  4. train <- read.csv.ffdf(x = xfftrain, file = "train.csv", VERBOSE = TRUE, skip = 1000)
  5. test <- read.csv.ffdf(x = xfftest, file = "test.csv", VERBOSE = TRUE, skip = 1000)
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