Plot the Alluvial — plot_alluvial • networkflow

An easy way to plot the alluvial by using the columns created by the different function of networkflow.

Usage

plot_alluvial(
  alluv_dt,
  intertemporal_cluster_column,
  node_id,
  window_column = "window",
  color_column = "color",
  color_alluvial = FALSE,
  color = NULL,
  minimize_crossing = FALSE,
  prepare_label = FALSE,
  cluster_label_column = "cluster_label",
  print_plot_code = FALSE
)

Arguments

alluv_dt: A data.frame of an alluvial created with networks_to_alluv().
intertemporal_cluster_column: The column with the identifier of inter-temporal clusters. If you have used add_clusters() and merge_dynamic_clusters(), it is of the form dynamic_cluster_{clustering_method}.
node_id: The column with the unique identifier of each node.
window_column: The column of the alluvial with your time window. By default, "window", as created by networks_to_alluv().
color_column: The column with the colors associated to the categories of intertemporal_cluster_column. By default, "color", as the result of color_alluvial().
color_alluvial: If no color has been set for the categories of intertemporal_cluster_column, you can attribute them colors by setting color_alluvial to TRUE. color_alluvial() will be used.
color: If color_alluvialis TRUE, the parameter color will be used to color the categories of the intertemporal_cluster_column. It may be a vector of colors (in a character format) or a two columns data frame with the first column as the distinct observations of the intertemporal_cluster_column and a second column with the vector of colors you want to use. If NULL colors will be automatically chosen by color_alluvial()?
minimize_crossing: If TRUE, minimize_crossing_alluvial() is run to reorder the intertemporal_cluster_colum to limit overlapping in the plot.
prepare_label: If TRUE, prepare_label_alluvial() is used to create a column label_x with
cluster_label_column: If prepare_label is TRUE, prepare_label_alluvial() is used and the values of cluster_label_column are taken to be displayed as label. By default, "cluster_label", as it is the default name of the column created with name_clusters(). But you may also use the same column as in intertemporal_cluster_column.
print_plot_code: Set to TRUE if you want the ggplot2 code to be printing. It is useful if you are not totally satisfied of the plot and want to manipulate the code yourself.