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Recorded here so others may avoid my mistakes. I have a bunch of files containing fixed width data. The R Data guide suggests that one pre-process them with a script if they are large. They were 50MG and up, and I needed to process another file that gave the layout of the lines anyway. I tried rpy to not only preprocess but create the R data object in one go. It seemed like a good idea; it wasn't. The core operation, was to build up a string for each line that looked like "data.fram...

Dear R users, I have two data frames that were read from text files as follows: x_data <- read.table("x.txt", header = TRUE, sep = "|", quote = "\"'", dec = ".",as.is = TRUE,na.strings = "NA",colClasses = NA, nrows = 3864284, skip = 0, check.names = TRUE,fill=TRUE, strip.white = TRUE,