Notice: On April 23, 2014, Statalist moved from an email list to a forum, based at statalist.org.

# st: RE: AW: AW: Categorize variable

 From "Nick Cox" To Subject st: RE: AW: AW: Categorize variable Date Mon, 12 Apr 2010 18:50:41 +0100

```gen mygroups = 10 * ceil(weight/10)

would get you most of the way. This has two small but notable

1. The values are transparent as bin limits, 170 meaning (160, 170] etc.

2. Very simple code, including no need for value labels.

I realise that this will produce more classes than intended if there are
values below 140 or above 190, but there are solutions for that if it's
a real nuisance (e.g. -recode-).

The larger question is why you want to do this, as it is throwing away
detail that might be useful.

-irecode()- is another way to do it.

Nick
n.j.cox@durham.ac.uk

Martin Weiss

BTW, my solution is a bit more complicated than initially imagined
(http://www.stata.com/statalist/archive/2002-08/msg00178.html):

*************
clear*
set seed 123456
set obs 1000
gen weight=rnormal(165,6)
su weight, mean
egen float mygroups = cut(weight), at(`=r(min)-0.01' 150(10)180
`r(max)')
icodes
la def mylab 0 "<150" 1 "150-160" 2 "160-170" 3 "170-180" 4 ">180"
la val mygroups mylab
table mygroups, contents(freq min weight max weight) mis
*************

Martin Weiss

Look at -help egen, cut()-

Saretta

I have a continuous variabile called weight. How can I categorize this
variable into groups: <=150lb (150-160], (150-160], (170-180] and >180?

*
*   For searches and help try:
*   http://www.stata.com/help.cgi?search
*   http://www.stata.com/support/statalist/faq
*   http://www.ats.ucla.edu/stat/stata/
```