I think it will depend on how you plan to use the data. Again in my
opinion, I think the simplest most natural storage structure in the
context of R would be a nested list:
mydat <- list(
list(contacts=c(3,4), ncon=2),
list(contacts=c(1,3,4), ncon=3),
list(contacts=c(4,2,1), ncon=3),
list(
> d <- data.frame(id=1:4, no.contacts=c(2,3,3,1))
> d$contacts_list <- list(3:4, c(1,3,4), c(4,2,1), 1 )
If you store that information in a longer format, with each row being
an edge to the relationship graph, it can make further processing
easier:
d2 <- with(d,
data.frame(id=rep(id, vappl
Hi,
Try:
dat <- data.frame(id=1:4, contacts_list=I(list(3:4,c(1,3,4), c(4,2,1), 1)),
`number of contacts`=c(2,3,3,1),check.names=FALSE)
attr(dat$contacts_list,"class") <- NULL #if needed
dat
A.K.
Dear Group,
I have data like the following
id contacts_list number of contacts
On 10/05/2014, 7:46 AM, Ragia Ibrahim wrote:
Dear Group,
I have data like the following
id contacts_list number of contacts
---
1 3 4 2
2 1 3 43
34 2 1
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