Hello,
To define the colors, remove the data set name from the aesthetic.
This
aes(colour = project_all$Acronym)
should be this
aes(colour = Acronym)
Then choose the colours in the usual ggplot way. Here is a reproducible
example.
library(igraph)
library(ggraph)
project_all <- make_graph("bull")
vertex_attr(project_all, "Acronym", index = V(project_all)) <- "red"
vertex_attr(project_all, "Acronym", index = V(project_all)[[3]]) <- "blue"
ggraph(project_all, layout = "igraph", algorithm = "kk") +
geom_edge_link() +
geom_node_point(aes(colour = Acronym), size = 8) +
scale_color_manual(name = "Project / Projekt",
values = c("blue", "red"))
Hope this helps,
Rui Barradas
Às 15:57 de 15/04/21, Wolfgang Grond escreveu:
Dear all,
I'm joining differnts graphs to one with command graph_join from ggraph,
and try to color the nodes depending on the subgraph they come from.
To do that, I have these commands in my ggraph:
####################################################
...
geom_node_point(size = 8, aes(colour = project_all$Acronym)) +
scale_color_discrete(name="Project / Projekt") +
...
####################################################
All works well, but
how to define the colors to use for the nodes?
Is it possible to either
- define the colors explicitely, or
- define a color palette to use?
Please point me to where I should look how to do it.
Many thanks in advance
Wolfgang
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