September 3, 2018 at 11:46 pm
Comments posted to this topic are about the item Create AT&T Network Hierarchy Diagrams using SQL Server Data
September 4, 2018 at 2:38 am
Gnome mapping in wet lab environments
I assume genomes were mapped, not gnomes...
September 4, 2018 at 3:28 am
Is that how you spell it? I've no idea about chemistry but love some of the R packages their community are developing!
September 4, 2018 at 6:19 am
Hi there,
In your opinion what would be the advantage of this R approach compared to, say, direct graph visualization with GraphViz dot command, example:
digraph STG
{
"Kirk" -> "Scotty"
"Scotty" -> "Spock"
"Spock" -> "Kirk"
}
September 4, 2018 at 6:28 am
I think the advantage is in situations where nodes have multiple edges. In the article there is a CTE that generates a network hierarchy, each node has three edges to other nodes. I suspect GraphViz can manage this too but many applications and packages can’t.
September 4, 2018 at 8:04 am
Thanks for your comment Paul.
September 5, 2018 at 1:02 pm
Had some trouble getting this to work in RStudio, wouldn't install the packages as in the commented section. This worked though:
source("https://bioconductor.org/biocLite.R")
biocLite()
biocLite("graph")
#biocLite("graphNEL") <- didn't work, fails but apparently wasn't needed, code runs w/out it
biocLite("Rgraphviz")
Nice post, thanks for the tips on graph viz tools.
September 5, 2018 at 1:07 pm
Thanks for the feedback, I’ll update the comments section in the next release with this.
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