plot_adopters function

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",
  ...
)

Arguments

• 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 matplot.
• type: Character vector of length 2. See matplot.
• ylim: Numeric vector of length 2. Sets the plotting limit for the y-axis.
• lty: Numeric vector of length 2. See matplot.
• col: Character vector of length 2. See matplot.
• bg: Character vector of length 2. See matplot.
• 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 matplot.

Returns

A matrix as described in cumulative_adopt_count.

Examples

# Generating a random diffnet -----------------------------------------------
set.seed(821)
diffnet <- rdiffnet(100, 5, seed.graph="small-world", seed.nodes="central")

plot_adopters(diffnet)

# Alternatively, we can use a TOA Matrix
toa <- sample(c(NA, 2010L,2015L), 20, TRUE)
mat <- toa_mat(toa)
plot_adopters(mat$cumadopt)

See Also

Other visualizations: dgr(), diffusionMap(), drawColorKey(), grid_distribution(), hazard_rate(), plot_diffnet2(), plot_diffnet(), plot_infectsuscep(), plot_threshold(), rescale_vertex_igraph()

Author(s)

George G. Vega Yon