title: How do I import a large (6 Gb) .csv file into R efficiently and quickly, without the R REPL crashing?
body: <p>I have a large <strong>.csv</strong> file which I need to import into R in order to do some data manipulation on it. I'm using the <code>read.csv(file.csv)</code> method, where I assign the result of the method to some variable <code>MyData</code>. However, when I attempt to run this in the R REPL, the program crashes. Is there a way to efficiently and quickly process/read a <strong>.csv</strong> file in R that won't crash the terminal? If there isn't, shouldn't I just be using Python?</p>