rescale_edge_attrs {DiagrammeR} | R Documentation |
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
.
# Create a random graph graph <- create_random_graph( n = 5, m = 7, set_seed = 23, directed = TRUE) %>% set_edge_attrs( edge_attr = weight, values = rnorm(edge_count(.), 5)) # Get the graph's internal edf # to show which edge attributes # are available get_edge_df(graph) #> id from to rel weight #> 1 1 2 3 <NA> 5.218288 #> 2 2 3 5 <NA> 3.953465 #> 3 3 3 4 <NA> 4.711311 #> 4 4 2 4 <NA> 5.481550 #> 5 5 2 5 <NA> 3.783624 #> 6 6 4 5 <NA> 5.308137 #> 7 7 1 4 <NA> 4.479822 # Rescale the `weight` edge # attribute, so that its values # are rescaled between 0 and 1 graph <- graph %>% rescale_edge_attrs( edge_attr_from = weight) # Get the graph's internal edf # to show that the edge attribute # values had been rescaled get_edge_df(graph) #> id from to rel weight #> 1 1 2 3 <NA> 0.845 #> 2 2 3 5 <NA> 0.100 #> 3 3 3 4 <NA> 0.546 #> 4 4 2 4 <NA> 1.000 #> 5 5 2 5 <NA> 0.000 #> 6 6 4 5 <NA> 0.898 #> 7 7 1 4 <NA> 0.410 # 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 get_edge_df(graph) #> id from to rel weight color penwidth #> 1 1 2 3 <NA> 0.845 #484848 2.612 #> 2 2 3 5 <NA> 0.100 #BBBBBB 0.750 #> 3 3 3 4 <NA> 0.546 #747474 1.865 #> 4 4 2 4 <NA> 1.000 #333333 3.000 #> 5 5 2 5 <NA> 0.000 #CCCCCC 0.500 #> 6 6 4 5 <NA> 0.898 #414141 2.745 #> 7 7 1 4 <NA> 0.410 #898989 1.525