On Mar 15, 2012, at 10:23 AM, MSousa wrote:
Sorry, I ll explain better.
For example in the next dataset,
x<-data.frame(v_source=3,v_destine=3,dist=4)
x<-rbind(x,data.frame(v_source=7,v_destine=7,dist=0))
x<-rbind(x,data.frame(v_source=6,v_destine=6,dist=0))
x<-rbind(x,data.frame(v_source=4,v_destine=4,dist=56))
x<-rbind(x,data.frame(v_source=4,v_destine=3,dist=61))
x<-rbind(x,data.frame(v_source=3,v_destine=3,dist=300))
x<-rbind(x,data.frame(v_source=3,v_destine=3,dist=27))
x<-rbind(x,data.frame(v_source=3,v_destine=3,dist=87))
x<-rbind(x,data.frame(v_source=3,v_destine=4,dist=49))
when execute this instruction gives
res<-table(x$v_source,x$v_destine)
3 4 6 7
3 4 1 0 0
4 1 1 0 0
6 0 0 1 0
7 0 0 0 1
my idea is that if possible, is an array like this, but instead of
having
the frequency, appears the minimum or average. Appears 4 times,
instead of
the value displayed in the matrix 4, show the average values. In the
case
mean 104.5 average(4, 300,27,87).
The idea was to the average value for each combination of row and
column.
the idea is to get something like the following matrix.
3 4 6 7
3 104.5 49 0 0
4 61 56 0 0
6 0 0 1 0
7 0 0 0 1
Oh, then you want 'tapply':
> tapply(x$dist, list(x$v_source, x$v_destine), mean)
3 4 6 7
3 104.5 49 NA NA
4 61.0 56 NA NA
6 NA NA 0 NA
7 NA NA NA 0
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