Hi Kimmo,

try cut() to create a factor with levels according to the range of
values, and (among other options) table() to make the table.

Cheers

Andrew.

On Wed, Jan 16, 2008 at 10:06:23PM +0200, K. Elo wrote:
> Hi,
> 
> I am quite new to R (but like it very much!), so please apologize if 
> this is a too simple question.
> 
> I have a large data frame consisting of data from a survey. There is, 
> for example, information about age and education (a numeric value from 
> 1-9). Now I would like to extract the total amount of each type of 
> education within different age groups (e.g. from 18 to 25, from 25 to 
> 35 etc.). How could I achieve this? (I have been thinking about 
> using 'subset', but if there are better ideas they are welcome :) )
> 
> An example might clarify my point. Let's assume the following data:
> #     age     edu
> 1     25      2
> 2     33      5
> 3     22      3
> 4     19      1
> 5     21      3
> 6     30      4
> 7     32      4
> 8     31      1
> 
> What I want to have is:
> 
> edu   18-25   25-35 ...
> 1     1       1
> 2     1       0
> 3     2       0
> 4     0       2
> 5     0       1
> 
> Thanks in advance & kind regards,
> Kimmo
> 
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-- 
Andrew Robinson  
Department of Mathematics and Statistics            Tel: +61-3-8344-9763
University of Melbourne, VIC 3010 Australia         Fax: +61-3-8344-4599
http://www.ms.unimelb.edu.au/~andrewpr
http://blogs.mbs.edu/fishing-in-the-bay/

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