ColorIgraphPlot: Produce a static color visualization of the Ball Mapper...
In BallMapper: The Ball Mapper Algorithm

Description Usage Arguments Value Examples

Produce a static color visualization of the Ball Mapper graph. It is based on the output from BallMapper function.

ColorIgraphPlot(outputFromBallMapper, showVertexLabels = TRUE,
  showLegend = FALSE, minimal_ball_radius = 7,
  maximal_ball_scale = 20, maximal_color_scale = 10,
  seed_for_plotting = -1, store_in_file = "",
  default_x_image_resolution = 512, default_y_image_resolution = 512,
  number_of_colors = 100)

`outputFromBallMapper,`	an output from the BallMapper function
`showVertexLabels,`	a boolean value determining if the vertex labels are to be shown (TRUE by default).
`showLegend,`	a boolean value determining if the legend is to be shown (FALSE by default).
`minimal_ball_radius,`	provide a minimal value of the radius of balls used in visualization (7 by default).
`maximal_ball_scale,`	provide a maximal value of the radius of balls used in visualization (20 by default).
`maximal_color_scale,`	Provide a maximal value (starting from 0) of the color of a ball (10 by default).
`seed_for_plotting,`	if set to the same number will suspend the fandom argument in the ploting rountine and produce plots with the same layout everytime.
`store_in_file`	if set to a string, will open a png file, and store the plot therein. By default it is set to an empty string.
`default_x_image_resolution`	store a default resolution of image in x direction. Set to 512 by default.
`default_y_image_resolution`	store a default resolution of image in y direction. Set to 512 by default.
`number_of_colors`	store a number of colors used in the plot.

None.

var <- seq(from=0,to=6.3,by=0.1)
points <- as.data.frame( cbind( sin(var),cos(var) ) )
values <- as.data.frame( sin(var) )
epsilon <- 0.25
l <- BallMapper(points,values,epsilon)
ColorIgraphPlot(l)