On 2011-02-03 14:09, Dennis Murphy wrote:
Hi:

This also works, except that the result is of class 'table':

xtabs(COUNTS ~ USER_ID + SITE, data = RAW)
        SITE
USER_ID SITE1 SITE2 SITE3
       1    10    13    22
       2    10    12    12
       3    13    44     0
       4     0     0    99

If you need a data frame, then the earlier responses apply.

Agreed. But just for fun, since this is R:

 z <- xtabs(COUNTS ~ USER_ID + SITE, data = RAW)
 d <- as.data.frame(unclass(z))

That'll lose the USER_ID variable; if that's needed:

 d <- as.data.frame(cbind(USER_ID=row.names(z), unclass(z)))

Peter Ehlers


HTH,
Dennis

On Thu, Feb 3, 2011 at 11:41 AM, Mike Schumacher
<mike.schumac...@gmail.com>wrote:

Hello,

I'd like to transpose data to create an analysis-friendly dataframe.  See
below for an example, I was unable to use t(x) and I couldn't find a
function with options like PROC TRANSPOSE in SAS.

The ideal solution handles variable quantities of SITE - but beggars can't
be choosers.  :-)

Thank you in advance,

Mike

## INPUT DATA
USER_ID<-c(1,1,1,2,2,2,3,3,4)
SITE

<-c("SITE1","SITE2","SITE3","SITE1","SITE2","SITE3","SITE1","SITE2","SITE3")
COUNTS<-c(10,13,22,10,12,12,13,44,99)

RAW<-data.frame(USER_ID,SITE,COUNTS)
RAW

#ANSWER SHOULD LOOK LIKE
a<-c(1,2,3,4)
b<-c(10,10,13,0)
c<-c(13,12,44,0)
d<-c(22,12,0,99)

RESULT<-data.frame(a,b,c,d)
names(RESULT)<-c("USER_ID","SITE1","SITE2","SITE3")
RESULT




--
Michael Schumacher
mike.schumac...@gmail.com

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