# [R] Classification

Benilton Carvalho bcarvalh at jhsph.edu
Wed Jul 18 19:59:11 CEST 2007

```maybe:

x = c(.2, .1, .8, .3, .7, .6, .01, .2, .5, 1, 1)
breaks = seq(0, 1, .2)
LETTERS[1:(length(breaks)-1)][cut(x, breaks)]

b

On Jul 18, 2007, at 1:50 PM, Doran, Harold wrote:

> Michael
>
> Assume your data frame is called "data" and your variable is called
> "V1". Converting this to a factor is:
>
> data\$V1 <- factor(data\$V1)
>
> Creating the classes can be done using ifelse(). Something like
>
> data\$class <- ifelse(data\$V1 < .21, A, ifelse(data\$V1 < .41, B, C))
>
> Harold
>
>
>> -----Original Message-----
>> From: r-help-bounces at stat.math.ethz.ch
>> [mailto:r-help-bounces at stat.math.ethz.ch] On Behalf Of Ing.
>> Michal Kneifl, Ph.D.
>> Sent: Wednesday, July 18, 2007 1:37 PM
>> To: r-help at stat.math.ethz.ch
>> Subject: [R] Classification
>>
>> Hi,
>> I am also a quite new user of R and would like to ask you for help:
>> I have a data frame where all columns are numeric variables.
>> My aim is to convert one columnt in factors.
>> Example:
>> MD
>> 0.2
>> 0.1
>> 0.8
>> 0.3
>> 0.7
>> 0.6
>> 0.01
>> 0.2
>> 0.5
>> 1
>> 1
>>
>>
>> I want to make classes:
>> 0-0.2 A
>> 0.21-0.4 B
>> 0.41-0.6 C
>> ..... and so on
>>
>> So after classification I wil get:
>> MD
>> A
>> A
>> D
>> B
>> .
>> .
>> .
>> and so on
>>
>> Thanks a lot in advance..
>>
>> Michael
>>
>> ______________________________________________
>> R-help at stat.math.ethz.ch mailing list
>> https://stat.ethz.ch/mailman/listinfo/r-help
>> http://www.R-project.org/posting-guide.html
>> and provide commented, minimal, self-contained, reproducible code.
>>
>
> ______________________________________________
> R-help at stat.math.ethz.ch mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help