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()
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