Visualize adopters and cumulative adopters
plot_adopters( obj, freq = FALSE, what = c("adopt", "cumadopt"), add = FALSE, include.legend = TRUE, include.grid = TRUE, pch = c(21, 24), type = c("b", "b"), ylim = if (!freq) c(0, 1) else NULL, lty = c(1, 1), col = c("black", "black"), bg = c("tomato", "gray"), xlab = "Time", ylab = ifelse(freq, "Frequency", "Proportion"), main = "Adopters and Cumulative Adopters", ... )
obj | Either a diffnet object or a cumulative a doption matrix. |
---|---|
freq | Logical scalar. When TRUE frequencies are plotted instead of proportions. |
what | Character vector of length 2. What to plot. |
add | Logical scalar. When TRUE lines and dots are added to the current graph. |
include.legend | Logical scalar. When TRUE a legend of the graph is plotted. |
include.grid | Logical scalar. When TRUE, the grid of the graph is drawn |
pch | Integer vector of length 2. See |
type | Character vector of length 2. See |
ylim | Numeric vector of length 2. Sets the plotting limit for the y-axis. |
lty | Numeric vector of length 2. See |
col | Character vector of length 2. See |
bg | Character vector of length 2. See |
xlab | Character scalar. Name of the x-axis. |
ylab | Character scalar. Name of the y-axis. |
main | Character scalar. Title of the plot |
... | Further arguments passed to |
A matrix as described in cumulative_adopt_count
.
Other visualizations:
dgr()
,
diffusionMap()
,
drawColorKey()
,
grid_distribution()
,
hazard_rate()
,
plot_diffnet2()
,
plot_diffnet()
,
plot_infectsuscep()
,
plot_threshold()
,
rescale_vertex_igraph()