Message-ID: <B0267ECB-F5D0-41FD-B156-E2C0887E5DAD@gmail.com>
Date: 2010-03-04T12:35:16Z
From: Carlos Guerra
Subject: 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