Hello
I have a dataset of people spending time in places. But most people don't
hang out in all the places.
it looks like:
> Input<-data.frame(people=c("Marc","Marc","Joe","Joe","Joe","Mary"),
+ place=c("school","home","home","sport","beach","school"),
+ time=c(2,4,3,1,5,4))
> Input
people place time
1 Marc school 2
2 Marc home 4
3 Joe home 3
4 Joe sport 1
5 Joe beach 5
6 Mary school 4
In order to import it within R's igraph, I must use graph.incidence(), but
the data needs to be formatted that way:
>
Output<-data.frame(school=c(2,0,4),home=c(4,3,0),sport=c(0,1,0),beach=c(0,5,0),
+ row.names=c("Marc","Joe","Mary"))
> Output
school home sport beach
Marc 2 4 0 0
Joe 0 3 1 5
Mary 4 0 0 0
The Dataset is fairly large (couple hundreds of people and places), and I
would very much appreciate if someone could point me to a routine or
function that could transform my Input dataset to the required Output,
Thank you very much in advance
Regards
Sylvain
PS: sorry for cross-posting this on statnet and then on R help list, but I
received a message from statnet pointing out the question was more related
to general data management than actual network analysis. Which is true
indeed...
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