I have a csv file where some of the numerical values are expressed as strings with commas as thousand separator, e.g. \"1,513\"
instead of 1513
. Wh
I think preprocessing is the way to go. You could use Notepad++ which has a regular expression replace option.
For example, if your file were like this:
"1,234","123","1,234"
"234","123","1,234"
123,456,789
Then, you could use the regular expression "([0-9]+),([0-9]+)"
and replace it with \1\2
1234,"123",1234
"234","123",1234
123,456,789
Then you could use x <- read.csv(file="x.csv",header=FALSE)
to read the file.