I have a data frame with about 40 columns, the second column, data[2] contains the name of the company that the rest of the row data describes. However, the names of the compani
A couple of things:
1) Mock-up data is useful as we don't know exactly what you're faced with. Please supply data if possible. Maybe I misunderstood in what follows?
2) Don't use [[2]]
to index your data.frame, I think [,"colname"] is much clearer
3) If the only difference is a trailing ' 09' in the name, then simply regexp that out:
R> x1 <- c("foo 09", "bar", "bar 09", "foo")
R> x2 <- gsub(" 09$", "", x1)
[1] "foo" "bar" "bar" "foo"
R>
Now you should be able to do your subset on the on-the-fly transformed data:
R> data <- data.frame(value=1:4, name=x1)
R> subset(data, gsub(" 09$", "", name)=="foo")
value name
1 1 foo 09
4 4 foo
R>
You could also have replace the name column with regexp'ed value.