Try this. It matches the first numeric string on
each line applying as.numeric to it and then using
c to simplify the resulting list to a numeric vector.
> x <- c("from 1000$ to 2000$", "from 2000$ to 3000$", "more than 3000$",
+ "from 1000$ to 2000$", "from 1000$ to 2000$")
> library(gsubfn)
> strapply(x, "([0-9]+).*", as.numeric, simplify = c)
[1] 1000 2000 3000 1000 1000
See the gsubfn home page for more:
http://gsubfn.googlecode.com
On Sun, Jun 28, 2009 at 4:25 AM, Gregor Povh<gregorp...@yahoo.de> wrote:
>
>
> Dear R users,
>
> apologies for this quite simple question. I've tried serverall approaches,
> however, could not generate the desired result.
>
> I have a large data frame, which has several cathegories encoded as
> character strings, for example.
>
> Name, income, gender, ...
> ... "from 1000$ to 2000$" ...
> ... "from 2000$ to 3000$" ...
> ... "more than 3000$" ...
> ... "from 1000$ to 2000$" ...
> ... "from 1000$ to 2000$" ...
>
>
> How can I transform this column into numeric values for the categories, for
> example in somethins like this:
> ... 1000 ...
> ... 2000 ...
> ... 3000 ...
> ... 1000 ...
> ... 1000 ...
>
> ______________________________________________
> R-help@r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>
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and provide commented, minimal, self-contained, reproducible code.
