Closed tenguzame closed 5 years ago
Hi,
If you use findFeeding3
you also export a data.frame (it's the first element of the returned list) with all the relevant information so that you can make your own igraph plot:
library(BacArena)
library(igraph)
data("sihumi_test")
ff3 = findFeeding3(sihumi_test, time=5, mets=c("EX_lac_D(e)","EX_etoh(e)"))
ffdata = ff3[[1]]
Then you can reformat the data and plot with igraph:
g <- graph.data.frame(ffdata[,1:2], directed=TRUE)
plot(g)
Hope this helps.
Best, Eugen
please reopen if still relevant
Greetings, I'm exploring your interesting piece of software, and I'm finding it quite useful for my own line of research. I'm writing to ask whether there's a chance to give users the capability for customizing the igraphs produced by the FindFeeding modules. In some cases it seems that I'm looking at some kind of yarn ball, and it's hard to discern the feeding pathways among the organisms in my simulations. Best regards