| igraph.qtlnet {qtlnet} | R Documentation | 
qtlnet plot using igraph
Description
Plot inferred causal network using igraph package.
Usage
igraph.qtlnet(x, edges, loci.list,
  pheno.color = "green", qtl.color = "red", vertex.color,
  include.qtl = TRUE, ...)
## S3 method for class 'qtlnet'
plot(x, ...)
Arguments
| x | Object of class  | 
| edges | Data frame with first two columns being  | 
| loci.list | List of character names of loci by phenotype. Typically determined by
call to  | 
| pheno.color,qtl.color | Name of color to use for phenotypes and QTLs, respectively. | 
| vertex.color | Vertex colors in order of pheno-pheno edged augmented by
 | 
| include.qtl | Include QTL in graph if  | 
| ... | Additional arguments passed to called routines. | 
Details
Uses the igraph package to create graph objects. These can be exported
to a variety of other modern graphics packages. graph.qtlnet is
synonymous with igraph.qtlnet.
Value
Object of class graph created using
graph.data.frame.
Author(s)
Brian S. Yandell and Elias Chaibub Neto
References
Chaibub Neto E, Keller MP, Attie AD, Yandell BS (2010) Causal Graphical Models in Systems Genetics: a unified framework for joint inference of causal network and genetic architecture for correlated phenotypes. Ann Appl Statist 4: 320-339. http://www.stat.wisc.edu/~yandell/doc/2010/92.AnnApplStat.pdf
See Also
summary.qtlnet,
loci.qtlnet,
graph.data.frame,
tkplot
Examples
Pscdbp.graph <- igraph.qtlnet(Pscdbp.qtlnet)
Pscdbp.graph
## Not run: 
tkplot(Pscdbp.graph)
## End(Not run)