Draws a graph where the coordinates are given by time of adoption, xaxis, and threshold level, yaxis.
plot_threshold(graph, expo, ...) # S3 method for diffnet plot_threshold(graph, expo, ...) # S3 method for array plot_threshold(graph, expo, ...) # S3 method for default plot_threshold( graph, expo, toa, include_censored = FALSE, t0 = min(toa, na.rm = TRUE), attrs = NULL, undirected = getOption("diffnet.undirected"), no.contemporary = TRUE, main = "Time of Adoption by\nNetwork Threshold", xlab = "Time", ylab = "Threshold", vertex.size = "degree", vertex.color = NULL, vertex.label = "", vertex.label.pos = NULL, vertex.label.cex = 1, vertex.label.adj = c(0.5, 0.5), vertex.label.color = NULL, vertex.sides = 40L, vertex.rot = 0, edge.width = 2, edge.color = NULL, arrow.width = NULL, arrow.length = NULL, arrow.color = NULL, include.grid = FALSE, vertex.frame.color = NULL, bty = "n", jitter.factor = c(1, 1), jitter.amount = c(0.25, 0.025), xlim = NULL, ylim = NULL, edge.curved = NULL, background = NULL, ... )
graph  A dynamic graph (see 

expo  \(n\times T\) matrix. Esposure to the innovation obtained from 
...  Additional arguments passed to 
toa  Integer vector of length \(n\) with the times of adoption. 
include_censored  Logical scalar. Passed to 
t0  Integer scalar. Passed to 
attrs  Passed to 
undirected  Logical scalar. When 
no.contemporary  Logical scalar. When TRUE, edges for vertices with the same

main  Character scalar. Title of the plot. 
xlab  Character scalar. xaxis label. 
ylab  Character scalar. yaxis label. 
vertex.size  Numeric vector of size \(n\). Relative size of the vertices. 
vertex.color  Either a vector of size \(n\) or a scalar indicating colors of the vertices. 
vertex.label  Character vector of size \(n\). Labels of the vertices. 
vertex.label.pos  Integer value to be passed to 
vertex.label.cex  Either a numeric scalar or vector of size \(n\). Passed to 
vertex.label.adj  Passed to 
vertex.label.color  Passed to 
vertex.sides  Either a vector of size \(n\) or a scalar indicating the number of sides of each vertex (see details). 
vertex.rot  Either a vector of size \(n\) or a scalar indicating the rotation in radians of each vertex (see details). 
edge.width  Numeric. Width of the edges. 
edge.color  Character. Color of the edges. 
arrow.width  Numeric value to be passed to 
arrow.length  Numeric value to be passed to 
arrow.color  Color. 
include.grid  Logical. When TRUE, the grid of the graph is drawn. 
vertex.frame.color  Either a vector of size \(n\) or a scalar indicating colors of vertices' borders. 
bty  See 
jitter.factor  Numeric vector of size 2 (for x and y) passed to 
jitter.amount  Numeric vector of size 2 (for x and y) passed to 
xlim  Passed to 
ylim  Passed to 
edge.curved  Logical scalar. When curved, generates curved edges. 
background  TBD 
When vertex.label=NULL
the function uses vertices ids as labels.
By default vertex.label=""
plots no labels.
Vertices are drawn using an internal function for generating polygons.
Polygons are inscribed in a circle of radius vertex.size
, and can be
rotated using vertex.rot
. The number of sides of each polygon
is set via vertex.sides
.
Use threshold
to retrieve the corresponding threshold
obtained returned by exposure
.
Other visualizations:
dgr()
,
diffusionMap()
,
drawColorKey()
,
grid_distribution()
,
hazard_rate()
,
plot_adopters()
,
plot_diffnet2()
,
plot_diffnet()
,
plot_infectsuscep()
,
rescale_vertex_igraph()
# Generating a random graph set.seed(1234) n < 6 nper < 5 graph < rgraph_er(n,nper, p=.3, undirected = FALSE) toa < sample(2000:(2000+nper1), n, TRUE) adopt < toa_mat(toa) # Computing exposure expos < exposure(graph, adopt$cumadopt) plot_threshold(graph, expos, toa)# Calculating degree (for sizing the vertices) plot_threshold(graph, expos, toa, vertex.size = "indegree")