R help - Nov 2004 - How to get mode in case of discrete or categorial data

Dear all,

in a previuos message was asked  how get the mode of
continous distribution. Now I'm asking if there an R
function to obtain the mode in case of a discrete
distribution or categorial data. The only way is to
use table():
> x<-rep(1:5,100)
> s<-sample(x,40)
> t<-table(s)
> t
s
 1  2  3  4  5 
13 10  5  4  8 

the mode is value=1

Thanks
Cordially
Vito

====Diventare costruttori di soluzioni
Became solutions' constructors

"The business of the statistician is to catalyze 
the scientific learning process."  
George E. P. Box


Visitate il portale http://www.modugno.it/
e in particolare la sezione su Palese
http://www.modugno.it/archivio/cat_palese.shtml

Dear Vito,

How about names(t)[t == max(t)], which will pick up multiple modes if
there's a tie. By the way, I recall a discussion of this question on r-help
not too long ago.

I hope this helps,
 John

> -----Original Message-----
> From: r-help-bounces at stat.math.ethz.ch 
> [mailto:r-help-bounces at stat.math.ethz.ch] On Behalf Of Vito Ricci
> Sent: Friday, November 12, 2004 8:21 AM
> To: r-help at stat.math.ethz.ch
> Subject: [R] How to get mode in case of discrete or categorial data
> 
> Dear all,
> 
> in a previuos message was asked  how get the mode of 
> continous distribution. Now I'm asking if there an R function 
> to obtain the mode in case of a discrete distribution or 
> categorial data. The only way is to use table():
> 
> > x<-rep(1:5,100)
> > s<-sample(x,40)
> > t<-table(s)
> > t
> s
>  1  2  3  4  5
> 13 10  5  4  8 
> 
> the mode is value=1
> 
> Thanks
> Cordially
> Vito
>