delete_vertices | R Documentation |
Given a current two-column matrix of edges and a vector of IDs to delete from the matrix, this function first removes any rows of the edgelist in which the IDs are present and then permutes downward the index of IDs on the edgelist that were numerically larger than the IDs deleted.
delete_vertices(el, vid)
el |
A two-column matrix of current edges (edgelist) with an attribute
variable |
vid |
A vector of IDs to delete from the edgelist. |
This function is used in EpiModel
modules to remove vertices (nodes)
from the edgelist object to account for exits from the population (e.g.,
deaths and out-migration).
Returns an updated edgelist object, el
, with the edges of deleted
vertices removed from the edgelist and the ID numbers of the remaining edges
permuted downward.
## Not run:
library("EpiModel")
set.seed(12345)
nw <- network_initialize(100)
formation <- ~edges
target.stats <- 50
coef.diss <- dissolution_coefs(dissolution = ~offset(edges), duration = 20)
x <- netest(nw, formation, target.stats, coef.diss, verbose = FALSE)
param <- param.net(inf.prob = 0.3)
init <- init.net(i.num = 10)
control <- control.net(type = "SI", nsteps = 100, nsims = 5,
tergmLite = TRUE)
# Set seed for reproducibility
set.seed(123456)
# networkLite representation structure after initialization
dat <- crosscheck.net(x, param, init, control)
dat <- initialize.net(x, param, init, control)
# Current edges
head(dat$el[[1]], 20)
# Remove nodes 1 and 2
nodes.to.delete <- 1:2
dat$el[[1]] <- delete_vertices(dat$el[[1]], nodes.to.delete)
# Newly permuted edges
head(dat$el[[1]], 20)
## End(Not run)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.