There are a couple of ambiguities in your request, but this should get
you started:
> one$keyword <- gsub("NA\\|", "", one$keyword)
> one$keyword <- gsub("^\\|", "", one$keyword)
> one
keyword
1 auto
2 auto|insurance|quote
3 auto|insurance
4 insurance
5 auto|insurance
6 <NA>
Note that this won't remove values that are actually NA, as in row 6.
Also note that your keyword values are factors rather than character
strings. You may well want to add stringsAsFactors=FALSE to your
data.frame() command.
Sarah
On Thu, Jul 19, 2012 at 3:21 PM, Abraham Mathew <abmathe...@gmail.com> wrote:
> So I have the following data frame and I want to know how I can remove all
> "NA" values from each string, and also
> remove all "|" values from the START of the string. So they should
> something like "auto|insurance" or "auto|insurance|quote"
>
> one = data.frame(keyword=c("|auto", "NA|auto|insurance|quote",
> "NA|auto|insurance",
> "NA|insurance", "NA|auto|insurance", "<NA>"))
>
> one
>
>
> Can anyone point me in the right direction? I'm still not too familiar with
> regex or gsub to find a solution, and there doesn't seem
> to be anything helpful in the stringr package for this task.
>
>
> Thanks
>
--
Sarah Goslee
http://www.functionaldiversity.org
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