Dear R-helpers,
I have to read some large csv-files into R (30 - 100MB).
Since reading with read.csv leads to memory exhausted, I tried
with scan(), skipping not needed columns by NULL-elements in
what.
When these skipped elements are quoted strings with commata inside,
R interprets each such
If the records are always of the form:
number,...,...,number
where ... may contain commas but not double quotes then here is a
kludgy solution. Perhaps its sufficient?
# scan in data using as the delimiter and keep first and last fields
s -
