Rescale numeric edge attribute values
From a graph object of class dgr_graph, take a set of numeric values for an
edge attribute, rescale to a new numeric or color range, then write to the
same edge attribute or to a new edge attribute column.
rescale_edge_attrs( graph, edge_attr_from, to_lower_bound = 0, to_upper_bound = 1, edge_attr_to = NULL, from_lower_bound = NULL, from_upper_bound = NULL )
| graph | A graph object of class  | 
| edge_attr_from | The edge attribute containing numeric data that is to be rescaled to new numeric or color values. | 
| to_lower_bound | The lower bound value for the set of rescaled values. This can be a numeric value or an X11 color name. | 
| to_upper_bound | The upper bound value for the set of rescaled values. This can be a numeric value or an X11 color name. | 
| edge_attr_to | An optional name of a new edge attribute to which the recoded values will be applied. This will retain the original edge attribute and its values. | 
| from_lower_bound | An optional, manually set lower bound value for the rescaled values. If not set, the minimum value from the set will be used. | 
| from_upper_bound | An optional, manually set upper bound value for the rescaled values. If not set, the minimum value from the set will be used. | 
A graph object of class dgr_graph.
Other Edge creation and removal: 
add_edge_clone(),
add_edge_df(),
add_edges_from_table(),
add_edges_w_string(),
add_edge(),
add_forward_edges_ws(),
add_reverse_edges_ws(),
copy_edge_attrs(),
create_edge_df(),
delete_edges_ws(),
delete_edge(),
delete_loop_edges_ws(),
drop_edge_attrs(),
edge_data(),
join_edge_attrs(),
mutate_edge_attrs_ws(),
mutate_edge_attrs(),
recode_edge_attrs(),
rename_edge_attrs(),
rev_edge_dir_ws(),
rev_edge_dir(),
set_edge_attr_to_display(),
set_edge_attrs_ws(),
set_edge_attrs()
# Create a random graph using the
# `add_gnm_graph()` function
graph <-
  create_graph() %>%
  add_gnm_graph(
    n = 10,
    m = 7,
    set_seed = 23) %>%
  set_edge_attrs(
    edge_attr = weight,
    values = rnorm(
      n = count_edges(.),
      mean = 5,
      sd = 1))
# Get the graph's internal edf
# to show which edge attributes
# are available
graph %>% get_edge_df()
# Rescale the `weight` edge
# attribute, so that its values
# are rescaled between 0 and 1
graph <-
  graph %>%
  rescale_edge_attrs(
    edge_attr_from = weight,
    to_lower_bound = 0,
    to_upper_bound = 1)
# Get the graph's internal edf
# to show that the edge attribute
# values had been rescaled
graph %>% get_edge_df()
# Scale the values in the `weight`
# edge attribute to different
# shades of gray for the `color`
# edge attribute and different
# numerical values for the
# `penwidth` attribute
graph <-
  graph %>%
  rescale_edge_attrs(
    edge_attr_from = weight,
    to_lower_bound = "gray80",
    to_upper_bound = "gray20",
    edge_attr_to = color) %>%
  rescale_edge_attrs(
    edge_attr_from = weight,
    to_lower_bound = 0.5,
    to_upper_bound = 3,
    edge_attr_to = penwidth)
# Get the graph's internal edf
# once more to show that scaled
# grayscale colors are now available
# in `color` and scaled numerical
# values are in the `penwidth`
# edge attribute
graph %>% get_edge_df()Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.