Hello
Apologies if this is a simple question, I have searched the help and
have not managed to work out a solution.
Does anybody know an efficient method for reading many text files of the
same format into one table/dataframe?
I have around 90 files that contain continuous data over 3 months but
that are split into individual days data and I need the whole 3 months
in one file for analysis. Each days file contains a large amount of
data (approx 30MB each) and so I need a memory efficient method to merge
all of the files into the one dataframe object. From what I have read I
will probably want to avoid using for loops etc? All files are in the
same directory, none have a header row, and each contain around 180,000
rows and the same 25 columns/variables. Any suggested packages/routines
would be very useful.
Thanks
Jennifer
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