#this is a function calculating summary statistics for gene trees
sumstat<-function(sfile=NULL,gfile=NULL,phylonet.path,repfolder=NULL,max.freq=0.1,rf=T,tscore=T,mdcscore=T,subtree=T){
require(ape)
if(is.null(gfile)){
sfile<-paste(repfolder,"/s_tree.trees",sep='')
gfile<-paste(repfolder,"/g_trees.trees",sep='')
}else{
repfolder<-NULL
}
g<-read.tree(gfile)
x<-data.frame(gfile=rep(gfile,length(g)),stringsAsFactors = F)
if(rf){
print("calculating rf distances")
x<-cbind(x,rfdistance(repfolder = repfolder,sfile=sfile,gfile=gfile))
}
if(tscore){
print("calculating triplet score")
x<-cbind(x,triplet.score(repfolder = repfolder,sfile=sfile,gfile=gfile))
}
if(mdcscore){
print("calculating mdc score")
x<-cbind(x,MDCcount(repfolder=repfolder,sfile=sfile,gfile=gfile,phylonet.path = phylonet.path))
}
if(subtree){
print("calculating subtree frequencies")
x<-cbind(x,subtree.freq(repfolder = repfolder,sfile = sfile,gfile=gfile,max.freq=max.freq))
}
colnames(x)[2:dim(x)[2]]<-paste("predictor.",colnames(x)[2:dim(x)[2]],sep='')
return(x)
}
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