Hi Carlos,

Take a look at ?cut, ?ifelse and ?transform for some ideas. Also, the
function recode in car might help.

HTH,
Jorge


On Thu, Mar 4, 2010 at 7:35 AM, Carlos Guerra <> wrote:

> Dear all,
>
> I have a table like this:
>
> > a <- read.csv("test.csv", header = TRUE, sep = ";")
> > a
>
>         UTM         pUrb                    pUrb_class
> 1      NF1885    20,160307         NA
> 2      NF1886    51,965649         NA
> 3      NF1893    26,009581         NA
> 4      NF1894      3,141484         NA
> 5      NF1895    64,296826         NA
> 6      NF1896    14,174068         NA
> 7      NF1897    40,985589         NA
> 8      NF1898    34,054325         NA
> 9      NF1899    20,657632         NA
> 10    NF1982    54,712737         NA
> 11    NF1983    56,016067         NA
> 12    NF1984      5,977961         NA
>
> What I wanted to do is to obtain classified values for "pUrb_class" in
> relation to "pUrb" as if:
>
> pUrb <20      ---  pUrb_class = 1
> pUrb 20-40  ---  pUrb_class = 2
> pUrb 40-60  ---  pUrb_class = 3
> ....
>
> Can anyone help me?
>
> Thanks in advance,
> Carlos
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