Function to create a frequency profile for a process map.
causal_frequency(
value = c("absolute", "relative"),
color_scale = "PuBu",
color_edges = "dodgerblue4"
)The type of frequency value to be used: absolute, relative (percentage of activity instances).
Name of color scale to be used for nodes. Defaults to PuBu. See Rcolorbrewer::brewer.pal.info() for all options.
The color used for edges. Defaults to dodgerblue4.
causal_net(L_heur_1,
type = causal_frequency("relative"))
#> Nodes
#> # A tibble: 7 × 12
#> act from_id n n_dist…¹ bindi…² bindi…³ label color…⁴ shape fontc…⁵ color
#> <chr> <int> <dbl> <dbl> <list> <list> <chr> <dbl> <chr> <chr> <chr>
#> 1 End 1 40 40 <list> <list> "End" 28.8 circ… brown4 brow…
#> 2 Start 2 40 40 <list> <list> "Sta… 28.8 circ… chartr… char…
#> 3 a 3 40 40 <list> <list> "a\n… 28.8 rect… white black
#> 4 b 4 21 21 <list> <list> "b\n… 15.1 rect… black black
#> 5 c 5 21 21 <list> <list> "c\n… 15.1 rect… black black
#> 6 d 6 17 13 <list> <list> "d\n… 12.2 rect… black black
#> 7 e 7 40 40 <list> <list> "e\n… 28.8 rect… white black
#> # … with 1 more variable: tooltip <chr>, and abbreviated variable names
#> # ¹n_distinct_cases, ²bindings_input, ³bindings_output, ⁴color_level,
#> # ⁵fontcolor
#> # ℹ Use `colnames()` to see all variable names
#> Edges
#> # A tibble: 8 × 8
#> antecedent consequent dep from_id to_id n label penwidth
#> <chr> <chr> <dbl> <int> <int> <dbl> <chr> <dbl>
#> 1 e End 0.976 7 1 40 100% 5
#> 2 Start a 0.976 2 3 40 100% 5
#> 3 a b 0.917 3 4 21 38.18% 2.53
#> 4 a c 0.917 3 5 21 38.18% 2.53
#> 5 a d 0.929 3 6 13 23.64% 1.95
#> 6 b e 0.917 4 7 21 100% 5
#> 7 c e 0.917 5 7 21 100% 5
#> 8 d e 0.929 6 7 17 100% 5