Nothing
#' @importFrom phytools bind.tip
#' @importFrom phyloseq sample_names otu_table phy_tree taxa_names
#' @importFrom ape which.edge mrca nodepath
#' @export
coreUniFrac <- function(x,
grouping,
core_fraction = 0.5,
ab_threshold1 = 0,
ab_threshold2 = 0,
ab_threshold3 = 0,
mode = 'branch',
selection = 'basic',
max_tax=NULL,
increase_cutoff = 2,
initial_branches=NULL,
rooted=TRUE) {
core<-core_fraction
#Using an unrooted tree in branch mode with abundance thresholds is not currently supported. If an unrooted tree is provided with non-zero abundance thresholds and branch mode is requested, reroot it
length_correct<-0.0001
if (rooted == FALSE){
length_correct<-0
if (ab_threshold1+ab_threshold2+ab_threshold3>0){
randoroot = sample(phy_tree(x)$tip.label, 1)
warning("Use of an unrooted tree with non-zero abundance thresholds in branch mode is not supported.")
warning("Randomly assigning root as -- ", randoroot, " -- in the phylogenetic tree provided.")
phy_tree(x) <- root(phy=phy_tree(x), outgroup=randoroot, resolve.root=TRUE, interactive=FALSE)
if( !is.rooted(phy_tree(x)) ){
stop("Problem automatically rooting tree. Make sure your tree is rooted before attempting UniFrac calculation. See ?ape::root")
}
rooted = TRUE
length_correct<-0.0001
}
}
#find the number of different habitat types (e.g. hosts or environments) that are being compared
group_count<-length(unique(grouping))
group_id<-unique(grouping)
#make a list of the samples from the first habitat
group1<-sample_names(x)[which(grouping==group_id[1])]
#make a list of the samples from the second habitat
group2<-sample_names(x)[which(grouping==group_id[2])]
x1<-prune_samples(group1,x)
x2<-prune_samples(group2,x)
#add an outgroup so that there is the option of drawing all edges to the root rather than the minimal spanning tree
newtree<-bind.tip(phy_tree(x),tip.label='outgroup',edge.length=0.0001,position=0)
#if you are building a branch-based tree...
if (mode=='branch'){
#If using the basic selection mode...
if (selection == 'basic'){
temp1<-basic_branch(x1,newtree,core,ab_threshold1,ab_threshold2,ab_threshold3,rooted)
temp2<-basic_branch(x2,newtree,core,ab_threshold1,ab_threshold2,ab_threshold3,rooted)
}else if (selection == 'shade'){
#If no maximum taxon is specified, default to considering 1%
if (is.null(max_tax)){max_tax<-1}
#Call the function to calculate all edges and core edges
temp1<-shade_branch(x1,newtree,max_tax,increase_cutoff,initial_branches)
temp2<-shade_branch(x2,newtree,max_tax,increase_cutoff,initial_branches)
#If a non-supported mode is selected print a warning and stop
}else{
stop('That method of core selection is not available. Please use basic or shade.')
}
}else if (mode=='tip'){
#If using the basic selection mode...
if (selection == 'basic'){
#Call function to calculate all edges and core edges
temp1<-basic_tip(x1,newtree,core,ab_threshold1,ab_threshold2,ab_threshold3,rooted)
temp2<-basic_tip(x2,newtree,core,ab_threshold1,ab_threshold2,ab_threshold3,rooted)
#If using the shade selection mode...
}else if (selection == 'shade'){
#If no maximum taxon is specified, default to considering 1%
if (is.null(max_tax)){max_tax<-1}
#Call the function to calculate all edges and core edges
temp1<-shade_tip(x1,newtree,max_tax,increase_cutoff)
temp2<-shade_tip(x2,newtree,max_tax,increase_cutoff)
#If a non-supported mode is selected print a warning and stop
}else{
stop('That method of core selection is not available. Please use basic or shade.')
}
}
core_edges1<-temp1$core_edges
core_edges2<-temp2$core_edges
#find the edges that are core to the first habitat but not the second
in1only<-which(!(core_edges1 %in% core_edges2))
#find the edges that are core to the second habitat but not the first
in2only<-which(!(core_edges2 %in% core_edges1))
#divide the length of the unique core edges by the total length or the core edges
if (length(in1only)>0){
A<-sum(newtree$edge.length[core_edges1[in1only]])
}else{A<-0}
if (length(in2only)>0){
B<-sum(newtree$edge.length[core_edges2[in2only]])
}else{B<-0}
unifrac<-(A+B)/(sum(newtree$edge.length[unique(c(core_edges1,core_edges2))])-length_correct)
#return the unifrac distance
return(unifrac)
}
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.