color_tea | R Documentation |
ndtv
AnimationsCreates a new color-named temporally-extended attribute (TEA)
variable in a networkDynamic
object containing a disease
status TEA in numeric format.
color_tea(
nd,
old.var = "testatus",
old.sus = "s",
old.inf = "i",
old.rec = "r",
new.var = "ndtvcol",
new.sus,
new.inf,
new.rec,
verbose = TRUE
)
nd |
An object of class |
old.var |
Old TEA variable name. |
old.sus |
Status value for susceptible in old TEA variable. |
old.inf |
Status value for infected in old TEA variable. |
old.rec |
Status value for recovered in old TEA variable. |
new.var |
New TEA variable name to be stored in |
new.sus |
Status value for susceptible in new TEA variable. |
new.inf |
Status value for infected in new TEA variable. |
new.rec |
Status value for recovered in new TEA variable. |
verbose |
If |
The ndtv
package (https://cran.r-project.org/package=ndtv)
produces animated visuals for dynamic networks with evolving edge structures
and nodal attributes. Nodal attribute dynamics in ndtv
movies require
a temporally extended attribute (TEA) containing a standard R color for each
node at each time step. By default, the EpiModel
package uses TEAs to
store disease status history in network model simulations run in
netsim
. But that status TEA is in numeric format (0, 1, 2).
The color_tea
function transforms those numeric values of that disease
status TEA into a TEA with color values in order to visualize status changes
in ndtv
.
The convention in plot.netsim
is to color the susceptible
nodes as blue, infected nodes as red, and recovered nodes as green. Alternate
colors may be specified using the new.sus
, new.inf
, and
new.rec
parameters, respectively.
Using the color_tea
function with a netsim
object requires that
TEAs for disease status be used and that the networkDynamic
object be
saved in the output: tergmListe
must be set to FALSE
in
control.net
.
The updated object of class networkDynamic
.
netsim
and the ndtv
package documentation.
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