R help - Mar 2010 - Rows classification problem

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

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

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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> 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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