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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>
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