colorize_edge_attrs {DiagrammeR} | R Documentation |
Within a graph's internal edge data frame (edf), use a categorical edge attribute to generate a new edge attribute with color values.
colorize_edge_attrs(graph, edge_attr_from, edge_attr_to, cut_points = NULL, palette = "Spectral", alpha = NULL, reverse_palette = FALSE, default_color = "#D9D9D9")
graph |
a graph object of class
|
edge_attr_from |
the name of the edge attribute column from which color values will be based. |
edge_attr_to |
the name of the new edge attribute to which the color values will be applied. |
cut_points |
an optional vector of numerical breaks for bucketizing continuous numerical values available in a edge attribute column. |
palette |
can either be: (1) a palette name from
the RColorBrewer package (e.g., |
alpha |
an optional alpha transparency value to
apply to the generated colors. Should be in
the range of |
reverse_palette |
an option to reverse the order
of colors in the chosen palette. The default is
|
default_color |
a hexadecimal color value to
use for instances when the values do not fall into
the bucket ranges specified in the |
a graph object of class
dgr_graph
.
# Create a graph with 5 nodes and 4 edges graph <- create_graph() %>% add_path(5) %>% set_edge_attrs( "weight", c(3.7, 6.3, 9.2, 1.6)) # We can bucketize values in the edge `weight` # attribute using `cut_points` and, by doing so, # assign colors to each of the bucketed ranges # (for values not part of any bucket, a gray color # is assigned by default) graph <- graph %>% colorize_edge_attrs( "weight", "color", cut_points = c(0, 2, 4, 6, 8, 10)) # Now there will be a `color` edge attribute # with distinct colors get_edge_df(graph) #> id from to rel weight color #> 1 1 1 2 <NA> 3.7 #FDAE61 #> 2 2 2 3 <NA> 6.3 #ABDDA4 #> 3 3 3 4 <NA> 9.2 #2B83BA #> 4 4 4 5 <NA> 1.6 #D7191C