If your dataset contains integer or limited possible unique numbers only I find the 
following more concise. 
 
m <- matrix( rpois(60, 5), nc=6 )
apply( m , 2, function(x) table( factor(x, levels=0:max(m))) )

If your dataset has continous or lots of unique numbers you may wish to consider only 
the summary statistics. You can try the function stats() or graphically bplot() [both 
from library fields]
 
Regards, Adai.
 
 

        -----Original Message----- 
        From: [EMAIL PROTECTED] on behalf of Eric Lecoutre 
        Sent: Thu 18/12/2003 16:22 
        To: Perez Martin, Agustin; lista R help (E-mail) 
        Cc: 
        Subject: Re: [R] Summaries
        
        


        Have a look at 'table'
        To compute for all columns of your dataset, combine with 'apply':
        
         > data(iris)
         > apply(iris,2,table)
        
        [...]
        
        $Petal.Width
        
        0.1 0.2 0.3 0.4 0.5 0.6 1.0 1.1 1.2 1.3 1.4 1.5 1.6 1.7 1.8 1.9 2.0 2.1 2.2
        2.3 2.4 2.5
           5  29   7   7   1   1   7   3   5  13   8  12   4   2  12   5   6   6
        3   8   3   3
        
        $Species
        
             setosa versicolor  virginica
                 50         50         50
        
        
        Eric
        
        
        At 09:18 18/12/2003, Perez Martin, Agustin wrote:
        >Hello UseRs:
        >
        >Excuses for my english.
        >I have a dataset with 65000 records and I'd like to make a summary where I
        >can view all the values (with the number of times that it repeats) that
        >there are each column of my dataset.
        >I tried with summary( ), str( ), but nothing gives me the result that I am
        >loking for.
        >
        >Thank you very much.
        >
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        --------------------------------------------------
        L'erreur est certes humaine, mais un vrai dÃsastre
        nÃcessite un ou deux ordinateurs. Citation anonyme
        --------------------------------------------------
        Eric Lecoutre
        Informaticien/Statisticien
        Institut de Statistique / UCL
        
        TEL (+32)(0)10473050       [EMAIL PROTECTED]
        URL http://www.stat.ucl.ac.be/ISpersonnel/lecoutre 
<http://www.stat.ucl.ac.be/ISpersonnel/lecoutre> 
        
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