R/plotDendrogram.R
In epurdom/clusterCells: Compare Clusterings for Single-Cell Sequencing
Defines functions
.plotDendro
#'@title Plot dendrogram of ClusterExperiment object
#'
#'@description Plots the dendrogram saved in a ClusterExperiment object
#'
#'@param x a \code{\link{ClusterExperiment}} object.
#'@param leafType if "samples" the dendrogram has one leaf per sample, otherwise
#' it has one per cluster.
#'@param main passed to the \code{plot.phylo} function to set main title.
#'@param sub passed to the \code{plot.phylo} function to set subtitle.
#'@param plotType one of 'name', 'colorblock' or 'id'. If 'Name' then dendrogram
#' will be plotted, and name of cluster or sample (depending on type of value
#' for \code{leafType}) will be plotted next to the leaf of the dendrogram. If
#' 'colorblock', rectangular blocks, corresponding to the color of the cluster
#' will be plotted, along with cluster name legend. If 'id' the internal
#' clusterIds value will be plotted (only appropriate if
#' \code{leafType="clusters"}).
#'@param ... arguments passed to the \code{\link{plot.phylo}} function of
#' \code{ape} that plots the dendrogram.
#'@param removeOutbranch logical, only applicable if there are missing samples
#' (i.e. equal to -1 or -2), \code{leafType="samples"} and the dendrogram for
#' the samples was made by putting missing samples in an outbranch. In which
#' case, if this parameter is TRUE, the outbranch will not be plotted, and if
#' FALSE it will be plotted.
#'@param legend character, only applicable if \code{plotType="colorblock"}.
#' Passed to \code{\link{phydataplot}} in \code{\link{ape}} package that is
#' used to draw the color values of the clusters/samples next to the
#' dendrogram. Options are 'none', 'below', or 'side'. (Note 'none' is only
#' available for 'ape' package >= 4.1-0.6).
#'@param nodeColors named vector of colors to be plotted on a node in the
#' dendrogram (calls \code{\link[ape]{nodelabels}}). Names should match the
#' \emph{internal} name of the node (the "NodeId" value, see
#' \code{\link{clusterDendrogram}}).
#'@param clusterLabelAngle angle at which label of cluster will be drawn. Only
#' applicable if \code{plotType="colorblock"}.
#'@param mergeInfo What kind of information about merge to plot on dendrogram.
#' If not equal to "none", will replicate the kind of plot that
#' \code{\link{mergeClusters}} creates, and the input to \code{mergeInfo}
#' corresponds to that of \code{plotInfo} in \code{mergeClusters}.
#' @param colData index (by integer or name) the sample data stored as a
#' \code{DataFrame} in \code{colData} slot of the object. Only discrete valued
#' ("character" or "factor" variables) will be plotted; indexing of continous
#' variables will be ignored. Whether that data is continuous or not will be
#' determined by the properties of \code{colData} (no user input is needed).
#' This argument is only relevant if \code{plotType=="colorblock"} and
#' \code{leafType=="samples"}
#' @param clusterLegend Assignment of colors to the clusters or sample data (as
#' designated by \code{colData} argument) plotted with the dendrogram . If
#' \code{NULL} or a particular variable/cluster are not assigned a color,
#' colors will be assigned internally for sample data and pull from the
#' \code{clusterLegend} slot of the x for the clusters.
#' @inheritParams getClusterIndex
#' @return A dendrogram is plotted. Returns (invisibly) a list with elements
#' \itemize{
#' \item{\code{plottedObject}}{ the \code{phylo} object that is plotted.}
#' \item{\code{originalObject}}{ the \code{phylo} object before adjusting the
#' node/tip labels. }
#' }
#' @aliases plotDendrogram
#' @details If \code{leafType="clusters"}, the plotting function will work best
#' if the clusters in the dendrogram correspond to the primary cluster. This
#' is because the function colors the cluster labels based on the colors of
#' the clusterIds of the primaryCluster
#' @importFrom ape plot.phylo nodelabels
#' @seealso
#' \code{\link{mergeClusters}},\code{\link[ape]{plot.phylo}},
#' \code{\link[ape]{nodelabels}},\code{\link[ape]{tiplabels}}
#'
#' @export
#'
#' @examples
#' data(simData)
#'
#' #create a clustering, for 8 clusters (truth was 3)
#' cl <-clusterSingle(simData, subsample=FALSE,
#' sequential=FALSE,
#' mainClusterArgs=list(clusterFunction="pam", clusterArgs=list(k=8)))
#'
#' #create dendrogram of clusters and then
#' # merge clusters based ondendrogram:
#' cl <- makeDendrogram(cl)
#' cl <- mergeClusters(cl,mergeMethod="adjP",DEMethod="limma",
#' cutoff=0.1,plot=FALSE)
#' plotDendrogram(cl)
#' plotDendrogram(cl,leafType="samples",whichClusters="all",plotType="colorblock")
#'
#' @export
#' @rdname plotDendrogram
setMethod(
f = "plotDendrogram",
signature = "ClusterExperiment",
definition = function(x,whichClusters="dendro",leafType=c("samples","clusters" ), plotType=c("colorblock","name","ids"), mergeInfo="none", main, sub, clusterLabelAngle=45, removeOutbranch=TRUE, legend=c("side","below", "none"),nodeColors=NULL,colData=NULL,clusterLegend=NULL,...)
{
if(is.null(x@dendro_samples) || is.null(x@dendro_clusters)) stop("No dendrogram is found for this ClusterExperiment Object. Run makeDendrogram first.")
leafType<-match.arg(leafType)
plotType<-match.arg(plotType)
possibleMergeValues<-c("none", "all","mergeMethod",.availMergeMethods)
if(!is.null(x@merge_nodeProp)){
otherVals<-colnames(x@merge_nodeProp)[!colnames(x@merge_nodeProp)%in%c("NodeId","Contrast")]
possibleMergeValues<-unique(c(possibleMergeValues,otherVals))
}
mergeInfo<-match.arg(mergeInfo,possibleMergeValues)
legend<-match.arg(legend)
whCl<-getClusterIndex(x,whichClusters=whichClusters,noMatch="throwError")
if(leafType=="clusters" && whCl!=x@dendro_index){
warning("if leafType=='clusters', 'whichClusters' must match the clusters that created the dendrogram. Changing 'leafType' to 'samples'")
leafType<-"samples"
}
if(leafType=="clusters" & length(whCl)>1) stop("If leafType equal to 'clusters' 'whichClusters' must be of length 1 (i.e. single cluster).")
if(missing(main)) main<-ifelse(leafType=="samples","Dendrogram of samples", "Dendrogram of clusters")
if(missing(sub)) sub<-paste("Dendrogram made with '",clusterLabels(x)[dendroClusterIndex(x)],"', cluster index ",dendroClusterIndex(x),sep="")
#This grabs the labels and moves them to node and tip labels
convertedDends<-.setNodeLabels(x,labelType="name",useMergeClusters=FALSE,overrideExistingNode=FALSE,singletonCluster=c("sample"))
dend<- switch(leafType,"samples"=convertedDends$dendro_samples,"clusters"=convertedDends$dendro_clusters)
#---
#make color matrix
#---
cl<-switch(leafType,"samples"=clusterMatrix(x)[,whCl,drop=FALSE],"clusters"=NULL)
if(leafType=="samples" & plotType=="colorblock"){
sData<-.pullColData(x,colData) #returns data.frame
#identify which numeric and remove
if(!is.null(sData)){
whCont<-which(sapply(seq_len(ncol(sData)),function(ii){is.numeric(sData[,ii])}))
if(length(whCont)>0){
warning("argument 'colData' implies using columns of colData that are continuous, which is not handled by plotDendrogram. Those columns will be ignored")
if(length(whCont)< ncol(sData)) sData<-sData[,-whCont,drop=FALSE]
else sData<-NULL
}
}
}
else{
if(!is.null(colData))
warning("argument colData only used if leafType='samples' and plotType='colorblock'. Ignoring input to colData.")
sData<-NULL
}
if(!is.null(sData)){
sClusterLegend<-.makeColors(sData,colors=massivePalette,distinctColors=TRUE,matchClusterLegend = clusterLegend,matchTo="name")
sNames<-colnames(sData)
sData<-sClusterLegend$numClusters
colnames(sData)<-sNames
cl<-cbind(cl,sData)
}
if(!is.null(clusterLegend) || !is.null(sData)){
#preserve those in given clusterLegend that don't match colData (could go with features/rows)
if(is.list(clusterLegend)){ #could be single vector, but in that case, will loose them
whKeep<-names(clusterLegend)[which(!names(clusterLegend)%in% names(sClusterLegend$colorList ))]
clusterLegend<-c(sClusterLegend$colorList,clusterLegend[whKeep])
}
else clusterLegend<-sClusterLegend$colorList
}
if(leafType=="samples") rownames(cl)<-if(!is.null(colnames(x))) colnames(x) else
.makeSampleNames(seq_len(ncol(x)))
if(length(whCl)==1 & is.null(sData)){
leg<-clusterLegend(x)[[whCl]]
if(plotType=="id") leg[,"name"]<-leg[,"clusterIds"]
}
else{
leg<-clusterLegend(x)[whCl]
if(plotType=="id") leg<-lapply(leg,function(x){x[,"name"]<-x[,"clusterIds"]; return(x)})
if(!is.null(sData)){
leg<-c(leg,clusterLegend)
}
}
label<-switch(plotType,"name"="name","colorblock"="colorblock","ids"="name")
# mergePlotType=NULL,mergeMethod=NULL,mergeOutput=NULL,
if(is.na(x@merge_dendrocluster_index)) mergeInfo<-"none"
if(mergeInfo=="none"){
mergeInfo<-NULL
mergeMethod<-NULL
}
else if(!is.na(x@merge_dendrocluster_index)){ #has node prop info, even if no merge cluster
if(mergeInfo=="mergeMethod"){
if(is.na(x@merge_index)){
warning("Cannot plot merge method because there is none. Plotting all")
mergeInfo<-"all"
}
else{
mergeMethod<-x@merge_method
}
}
else if(mergeInfo==x@merge_method ) mergeMethod<-x@merge_method #only do dotted lines if matches saved merged method -- is this good default or no? not sure .plotDendro works otherwise from ClusterExperiment object
else mergeMethod<-"none"
} else{
warning("There is no information about merging -- will ignore input to 'mergeInfo'")
}
phyloOut<-.plotDendro(dendro=dend,leafType=leafType,mergeMethod=mergeMethod,mergePlotType=mergeInfo,mergeOutput=nodeMergeInfo(x),clusterLegendMat=leg,clObj=cl,plotType=label,main=main,sub=sub,removeOutbranch=removeOutbranch,legend=legend,clusterLabelAngle=clusterLabelAngle,...)
if(!is.null(nodeColors)){
if(is.null(names(nodeColors))) warning("Must give names to node colors, ignoring argument nodeColors")
m<-match(names(nodeColors),phyloOut$originalObject$node.label)
nodeColors<-nodeColors[!is.na(m)]
m<-m[!is.na(m)]
if(length(m)>0){
ape::nodelabels(rep("",length(nodeColors)),m+length(phyloOut$originalObject$tip.label), frame = "c", bg = nodeColors,cex=1/par("cex"))
}
else{warning("No names of node colors match node name, ignoring argument nodeColors")}
}
invisible(phyloOut)
})
########
# Internal plotting function used by both mergeClusters and plotDendrogram
#' @importFrom graphics plot
#' @importFrom ape plot.phylo phydataplot
.plotDendro<-function(dendro, leafType="clusters",mergePlotType=NULL,mergeMethod=NULL,mergeOutput=NULL,clusterLegendMat=NULL,clObj=NULL,plotType=c("name","colorblock"),removeOutbranch=FALSE,legend="below",clusterLabelAngle=45,...){
plotType<-match.arg(plotType)
outbranch<- "outbranch root" %in% phylobase::tdata(dendro)$Position
############
## Everything in this code assumes that phylobase::getNode(dend@dendro_samples,type="tip") is in same order as phyloObj$tip.label
############
#---
#remove the outbranch from the dendrogram and update clObj and mTipsToSamples
#(note this is using phylo4 obj)
#---
if(outbranch & removeOutbranch & leafType=="samples"){
##Find node that is cluster child of root
rootNode<-phylobase::rootNode(dendro)
rootChild<-phylobase::descendants(dendro,node=rootNode,type="children")
position<-.matchToDendroData(inputValue=rootChild,dendro=dendro,matchColumn="NodeIndex",returnColumn="Position")
if(!any(position=="cluster hierarchy node")) stop("coding error -- child of root with outbranch isn't cluster hierarchy node")
if(all(position=="cluster hierarchy node")) stop("coding error -- both child of root are 'cluster hierarchy node', but also have root is 'outbranchroot'")
clusterNode<-rootChild[which(position=="cluster hierarchy node")]
#remove from clObj and update mTipsToSamples
nSamples<-nTips(dendro) #save so have after changed dendro
clusterTips<-phylobase::descendants(dendro,node=clusterNode,type="tip")
if(length(clusterTips)==0) stop("Internal coding error: no unassigned samples in tree")
whKeep<-.matchToDendroData(inputValue=clusterTips, dendro, matchColumn="NodeIndex", returnColumn="SampleIndex")
# all(tipLabels(dendro)==row.names(clObj)[tdata(dendro,type="tip")$SampleIndex])
####Subset dendro
dendro<-phylobase::subset(dendro, node.subtree=clusterNode)
ch<-.checkDendroSamplesFormat(dendro,checkLabels=FALSE)
if(!is.logical(ch)) stop(ch)
#need to create mTipsToSamples -- match of tips to samples ("SampleIndex" is index to full data)
mTipsToSamplesOld <- .matchToDendroData(inputValue=phylobase::getNode(dendro,type="tip"), dendro, matchColumn="NodeIndex", returnColumn="SampleIndex")
#these are still indices in the full sample clObj. Now need to get their indices in the subsetted one:
mToSubset<-match(seq_len(nSamples),whKeep) #gives where each of old sample indices (1:n) map to in new order of future clObj (with NA for those that not in new clObj)
mTipsToSamples<-mToSubset[mTipsToSamplesOld] #use that to map mTipsToSamplesNew to new order
if(any(is.na(mTipsToSamples))) stop("coding error -- didn't update mTipsToSamples correctly")
#these check against names, but doesn't always have names, etc.
# if(!all(tipLabels(dendro)==row.names(clObj)[mTipsToSamplesOld])) stop("coding error -- names no longer match")
# if(!all(sort(tipLabels(dendro))==sort(names(clObj[whKeep,])))) stop("coding error -- don't have the same set of tips after pruning outbranch")
# if(!all(tipLabels(dendro)==row.names(clObj[whKeep,,drop=FALSE])[mTipsToSamples])) stop("coding error -- names no longer match")
if(is.matrix(clObj)) clObj<-clObj[whKeep,,drop=FALSE] else clObj<-clObj[whKeep]
#set outbranch=FALSE because now doesn't exist in tree...
outbranch<-FALSE
}
else{
if(leafType=="samples") mTipsToSamples <- .matchToDendroData(inputValue=phylobase::getNode(dendro,type="tip"), dendro, matchColumn="NodeIndex", returnColumn="SampleIndex")
}
#-------
#convert to phylo object...
#-------
phyloObj <- .convertToPhyClasses(dendro, "phylo",convertNodes=TRUE,convertTips=(leafType!="samples"))
if(leafType=="samples"){
#not clear need this now that convert dendro it before send to .plotDendro
#these are in the order of dendro tips. To
clNames<-phylobase::tipLabels(dendro)
}
plotArgs<-list(...)
if(plotType=="colorblock" && is.null(clObj) && leafType=="samples") stop("Internal coding error: must provide a clustering if plotType='colorblock'")
origPhylo<-phyloObj #so can return and get any information that gets overwritten in phyloObj
#---------------
### For plotting of dendrogram for the merging
### Add information about the merging as node labels and change edge type
### Note: could probably have used nodelabels function and avoided some of this
#---------------
if(!is.null(mergeOutput)){
annotNames<-c("NodeId","Contrast","isMerged", "mergeClusterId")
methods<-colnames(mergeOutput)[!colnames(mergeOutput)%in%annotNames] #possible for which have proportion saved
}
doMerge<-!is.null(mergePlotType) && !is.null(mergeOutput) && mergePlotType %in% c("all",methods,"mergeMethod")
if(doMerge){
#####
#convert names of internal nodes for plotting
#####
#match to order of tree
whToMerge<-which(mergeOutput$isMerged)
nodesToMerge<-as.character(mergeOutput$Node[whToMerge])
m <- match( as.character(mergeOutput$Node),phyloObj$node.label)
if(any(is.na(m))) stop("some nodes in merge node info not in the given dendrogram")
edgeLty <- rep(1, nrow(phyloObj$edge))
if(mergeMethod != "none" && length(whToMerge) > 0){
#which of nodes merged
whMerge <- which(phyloObj$node.label %in% nodesToMerge)
nodeNumbers <- (length(phyloObj$tip) + 1):max(phyloObj$edge)
whEdge <- which(phyloObj$edge[,1] %in% nodeNumbers[whMerge])
edgeLty[whEdge] <- 2
}
if(mergePlotType == "mergeMethod"){
if(!mergeMethod %in% methods) stop("mergeMethod not in methods of output")
valsNodes<-as.character(signif(mergeOutput[,mergeMethod],2))
valsNodes[is.na(valsNodes)]<-"NA" #make them print out as NA -- otherwise doesn't plot
phyloObj$node.label[m] <- valsNodes
# offsetDivide<-3
# dataPct<-.7
}
else if(all(mergePlotType %in% c("all",methods))) {
meth<-if(mergePlotType=="all") methods else methods[methods%in%mergePlotType]
phyloObj$node.label[m] <- apply(mergeOutput[,meth,drop=FALSE],1,
function(x){
whKp<-which(!is.na(x))
#fix up name of FC methods:
mm<-meth[whKp]
mm<-sapply(strsplit(mm,"_"),function(u){if(length(u)==2) return(sprintf("%s(>%s)",u[1],u[2])) else return(u)})
vals<-paste(paste(mm, signif(x[whKp],2), sep=":"), collapse="\n")
vals[is.na(vals)]<-"NA"
return(vals)
})
if(mergePlotType!="all"){
# offsetDivide<-3
# dataPct<-.7
}
else{
# offsetDivide<-2.5
# dataPct<-.7
}
}
phyloObj$node.label[-m]<-""
###Only set these if user doesn't...
if(!"show.node.label" %in% names(plotArgs)) plotArgs$show.node.label<-TRUE
if(!"edge.lty" %in% names(plotArgs)) plotArgs$edge.lty<-edgeLty
}
else{
phyloObj$node.label<-phylobase::nodeLabels(dendro) #use the user-given/assigned node labels
}
###############
### Deal with clusterLegend object:
### - Make default if not provided and
### - If # of clusterings>1 make clusterLegend and clObj matrix appropriate
###############
if(plotType=="colorblock"){
clusterLegend<-TRUE #doesn't do anything right now because phydataplot doesn't have option of no legend...
if(is.null(clusterLegendMat)){
#----
#make default colors, works for vector or matrix clObj
#----
clusterIds<-sort(unique(as.vector(clObj)))
clusterLegendMat <- cbind("clusterIds"=clusterIds, "name"=clusterIds, "color"=bigPalette[seq_along(clusterIds)])
}
else{
if(is.matrix(clObj) && ncol(clObj)>1){
#if not provide list of cluster legends, do only 1st clustering provided (temporary while fixing so works for matrix)
if(!is.list(clusterLegendMat) ) clObj<-clObj[,1,drop=FALSE]
else{
#----
#create one big clObj/clusterLegendMat object that will allow for coloring that is okay.
#----
nclusters<-ncol(clObj)
if(length(clusterLegendMat)!=nclusters) stop("Internal coding error -- wrong length of colors for clustering")
newClusterLegendMat<-clusterLegendMat[[1]]
newCl<-clObj[,1]
#make it general in case some day want more than just 2 clusterings
for(ii in 2:nclusters){
currMat<-clusterLegendMat[[ii]]
currCl<-clObj[,ii]
#note that because subset to those samples that are not -1/-2 on
# clObj[,1], may have entire clusters in other columns of clObj that disappear but still in color matrix with no entry in clObj
#reduce down the currMat to accomodate that
whExist<-which(as.numeric(currMat[,"clusterIds"]) %in% currCl)
currMat<-currMat[whExist, ,drop=FALSE]
whExistingColor<-which(currMat[,"color"] %in% newClusterLegendMat[,"color"])
updatedCurrCl<-currCl
if(length(whExistingColor)>0){
#-----------
#reassign the cluster id to the one matching existing color id.
# only should affect names, not color of newClusterLegendMat
#-----------
matchNew<-match(currMat[whExistingColor,"color"],newClusterLegendMat[,"color"])
oldId<-currMat[whExistingColor,"clusterIds"]
newId<-newClusterLegendMat[matchNew,"clusterIds"]
mexist<-match(currCl,oldId)
newFullId<-as.numeric(newId[mexist])
updatedCurrCl[!is.na(mexist)]<-newFullId[!is.na(mexist)]
#change name so combination, if not already the same
whDiff<-which(newClusterLegendMat[matchNew,"name"]!=currMat[whExistingColor,"name"])
if(length(whDiff)>0){
combName<-paste(newClusterLegendMat[matchNew,"name"],currMat[whExistingColor,"name"],sep="/")
newClusterLegendMat[matchNew[whDiff],"name"]<-combName[whDiff]
}
#remove from current color scheme
currMat<-currMat[-whExistingColor,,drop=FALSE]
}
if(nrow(currMat)>0){
#-----------
# for remaining, add to newClusterLegendMat
# with ids increased to be unique
#-----------
maxNew<-max(as.vector(newCl))
oldId2<-currMat[,"clusterIds"]
newId2<-seq(from=maxNew+1,by=1,length=length(oldId2)) #replace with this in legend
mexist2<-match(currCl,oldId2) #match old ids to the clusterings vector
newFullId2<-as.numeric(newId2[mexist2]) #will get NAs for those that don't match (e.g. have been changed by previous step)
updatedCurrCl[!is.na(mexist2)]<-newFullId2[!is.na(mexist2)]
## change ids in currMat
currMat[,"clusterIds"]<-newId2
## test correct that no overlap in ids or names or colors:
if(any(currMat[,"clusterIds"] %in% newClusterLegendMat[,"clusterIds"])){
stop("Internal coding error: still overlap in cluster Ids")
}
if(any(currMat[,"color"] %in% newClusterLegendMat[,"color"])){
stop("Internal coding error: still overlap in color")
}
## add to new cluster color legend
newClusterLegendMat<-rbind(newClusterLegendMat,currMat)
}
#change them all here (before changed)
currCl<-updatedCurrCl
newCl<-cbind(newCl,currCl)
}
clusterLegendMat<-newClusterLegendMat
colnames(newCl)<-colnames(clObj)
rownames(newCl)<-rownames(clObj)
clObj<-newCl
clusterLegend<-FALSE
}
}
}
}
###############
### Deal with clusterLegend object Part II:
### - Add color of cluster and cluster/sample name to tip labels if plotType=="name"
### - Make colorMat matrix if plotType=="colorblock"
###############
edge.width=1
if(!is.null(clusterLegendMat)){
if(leafType=="clusters"){
#get rid of matching string
#don't need this now that convert before send to .plotDendro
m<-match(gsub("ClusterId","",phyloObj$tip.label),clusterLegendMat[,"clusterIds"])
if(any(is.na(m))) stop("clusterIds in clusterLegend do not match dendrogram labels")
tip.color<-clusterLegendMat[m,"color"]
if(plotType=="colorblock"){
clusterLegendMat<-clusterLegendMat[!clusterLegendMat[,"clusterIds"]%in%c(-1,-2),]
colorMat<-matrix(clusterLegendMat[,"name"],ncol=1)
row.names(colorMat)<-clusterLegendMat[,"name"]
cols<-clusterLegendMat[,"color"]
names(cols)<-clusterLegendMat[,"name"]
}
}
if(leafType=="samples"){
if(is.matrix(clObj) && ncol(clObj)>1){
if(plotType=="colorblock"){
colorMat<-apply(clObj,2,function(x){
m<-match(x,clusterLegendMat[,"clusterIds"])
clusterLegendMat[m,"name"]
})
if(any(dim(colorMat)!=dim(clObj))) stop("Internal coding error: dimensions of colorMat don't match input")
dimnames(colorMat)<-dimnames(clObj)
cols<-clusterLegendMat[,"color"]
names(cols)<-clusterLegendMat[,"name"]
#match samples to order of the tree:
colorMat<-colorMat[mTipsToSamples,]
}
tip.color<-"black"
}
else{
if(is.matrix(clObj)) clObj<-clObj[,1]
m<-match(clObj,clusterLegendMat[,"clusterIds"])
tip.color<-clusterLegendMat[m,"color"]
if(plotType=="colorblock"){
colorMat<-matrix(clusterLegendMat[m,"name"],ncol=1)
colorMat<-colorMat[mTipsToSamples,,drop=FALSE]
rownames(colorMat)<-clNames
cols<-clusterLegendMat[,"color"]
names(cols)<-clusterLegendMat[,"name"]
}
else tip.color<-tip.color[mTipsToSamples]
}
if(plotType=="colorblock"){
#make only edges going to/from nodes in cluster hierarchy have edge.width>0
#Note that some of origPhylo$node.label have NA for value; won't get unique value for these; but these aren't part of cluster hierarchy anyway (in fact could probably just pick those that are NA and use them, but this is safer(?))
ntips<-length(phyloObj$tip.label)
positionValue<-.matchToDendroData(inputValue=origPhylo$node.label, dendro=dendro, matchColumn="NodeId", returnColumn="Position")
whClusterNode<-which(as.character(positionValue)%in% c("cluster hierarchy node","cluster hierarchy tip")) + ntips
whEdgePlot<-which(apply(phyloObj$edge,1,function(x){any(x %in% whClusterNode)}))
edge.width<-rep(0,nrow(phyloObj$edge))
edge.width[whEdgePlot]<-1
}
}
}
else tip.color<-"black"
#Couldn't do this before, because needed cluster id to safely match to clusterLegendMat.
if(leafType=="clusters") phyloObj$tip.label<-phylobase::tipLabels(dendro)
#this next code is hack to deal with error sometimes get if very long edge length -- usually due to unusual distance, etc.
# Divides edge lengths so not too large.
if(max(phyloObj$edge.length)>1e6) phyloObj$edge.length <- phyloObj$edge.length / max(phyloObj$edge.length)
#---------------
# PLOTTING
#-------------
#the percentage of total width will be dataPct/(1+dataPct+offsetPct)
#tree=64%
#data=32%
#offset=3%
dataPct<-0.5
offsetPct<-0.01
.pctCalculation<-function(data,offset){
denom<-1+data+offset
return(c("tree"=1/denom,data=data/denom,offset=offset/denom))
}
# > .pctCalculation(.5,.01)
# tree data offset
# 0.662251656 0.331125828 0.006622517
prohibitOptions<-c("tip.color","node.pos","edge.width","horizontal","direction","type")
if(any(prohibitOptions %in% names(plotArgs))) stop("User cannot set following options to plot.phylo:",paste(prohibitOptions, collapse=","))
plotArgs<-c(plotArgs,list(tip.color=tip.color,node.pos=2,edge.width=edge.width))
if(plotType=="name") do.call(ape::plot.phylo,c(list(phyloObj),plotArgs))
else{
#if colorblock
if(length(grep("show.tip",names(plotArgs)))==0) plotArgs$show.tip.label<-FALSE
sn<-grep("show.node",names(plotArgs))
if(length(sn)>0 && plotArgs[[sn]] && !doMerge){
offsetPct<-1/8
dataPct<-0.6
# > .pctCalculation(.6,1/6)
# tree data offset
# 0.56603774 0.33962264 0.09433962
}
#just calculate needed width for tree...
phyloPlotOut<-do.call(.calculatePlotPhylo,c(list(phyloObj,plot=FALSE),plotArgs))
treeWidth<-phyloPlotOut$x.lim[2]
#plot dendrogram:
do.call(ape::plot.phylo,c(list(phyloObj,x.lim=treeWidth*(1+dataPct+offsetPct)),plotArgs))
nclusters<-ncol(colorMat)
colnames(colorMat)<-NULL
colInput<-function(n){cols}
width<-treeWidth*dataPct/(nclusters+.5)
ape::phydataplot(x=colorMat, phy=phyloObj, style="mosaic",offset=treeWidth*offsetPct, width = width, border = NA, lwd = 3,legend = legend, funcol = colInput)
if(nclusters>1 & !is.null(colnames(clObj))){
xloc<-treeWidth+treeWidth*offsetPct+seq(from=0,by=width,length=nclusters)
xloc<-xloc+width/2
ypos<-par("usr")[4]-0.025*diff(par("usr")[3:4])
adj<-c(0,0)
if("cex" %in% names(list(...))) labcex<-list(...)[["cex"]]
else labcex<-1
text(x=xloc,y=ypos,labels=colnames(clObj),srt=clusterLabelAngle,xpd=NA,adj=adj,cex=labcex)
}
}
invisible(list(plottedObject=phyloObj,originalObject=origPhylo))
}
#' @importFrom ape node_height_clado node_height node_depth node_depth_edgelength is.ultrametric unrooted.xy
###Copy code from ape:plot.phylo so get how calculates x.lim. Just removed the plot parts.
.calculatePlotPhylo<-function (x, type = "phylogram", use.edge.length = TRUE, node.pos = NULL,
show.tip.label = TRUE, show.node.label = FALSE, edge.color = "black",
edge.width = 1, edge.lty = 1, font = 3, cex = par("cex"),
adj = NULL, srt = 0, no.margin = FALSE, root.edge = FALSE,
label.offset = 0, underscore = FALSE, x.lim = NULL, y.lim = NULL,
direction = "rightwards", lab4ut = NULL, tip.color = "black",
plot = TRUE, rotate.tree = 0, open.angle = 0, node.depth = 1,
align.tip.label = FALSE, ...)
{
Ntip <- length(x$tip.label)
if (Ntip < 2) {
warning("found less than 2 tips in the tree")
return(NULL)
}
.nodeHeight <- function(edge, Nedge, yy) .C(ape::node_height,
as.integer(edge[, 1]), as.integer(edge[, 2]), as.integer(Nedge),
as.double(yy))[[4]]
.nodeDepth <- function(Ntip, Nnode, edge, Nedge, node.depth) .C(ape::node_depth,
as.integer(Ntip), as.integer(edge[, 1]), as.integer(edge[,
2]), as.integer(Nedge), double(Ntip + Nnode), as.integer(node.depth))[[5]]
.nodeDepthEdgelength <- function(Ntip, Nnode, edge, Nedge,
edge.length) .C(ape::node_depth_edgelength, as.integer(edge[,
1]), as.integer(edge[, 2]), as.integer(Nedge), as.double(edge.length),
double(Ntip + Nnode))[[5]]
Nedge <- dim(x$edge)[1]
Nnode <- x$Nnode
if (any(x$edge < 1) || any(x$edge > Ntip + Nnode))
stop("tree badly conformed; cannot plot. Check the edge matrix.")
ROOT <- Ntip + 1
type <- match.arg(type, c("phylogram", "cladogram", "fan",
"unrooted", "radial"))
direction <- match.arg(direction, c("rightwards", "leftwards",
"upwards", "downwards"))
if (is.null(x$edge.length)) {
use.edge.length <- FALSE
}
else {
if (use.edge.length && type != "radial") {
tmp <- sum(is.na(x$edge.length))
if (tmp) {
warning(paste(tmp, "branch length(s) NA(s): branch lengths ignored in the plot"))
use.edge.length <- FALSE
}
}
}
if (is.numeric(align.tip.label)) {
align.tip.label.lty <- align.tip.label
align.tip.label <- TRUE
}
else {
if (align.tip.label)
align.tip.label.lty <- 3
}
if (align.tip.label) {
if (type %in% c("unrooted", "radial") || !use.edge.length ||
is.ultrametric(x))
align.tip.label <- FALSE
}
if (type %in% c("unrooted", "radial") || !use.edge.length ||
is.null(x$root.edge) || !x$root.edge)
root.edge <- FALSE
phyloORclado <- type %in% c("phylogram", "cladogram")
horizontal <- direction %in% c("rightwards", "leftwards")
xe <- x$edge
if (phyloORclado) {
phyOrder <- attr(x, "order")
if (is.null(phyOrder) || phyOrder != "cladewise") {
x <- ape::reorder.phylo(x)
if (!identical(x$edge, xe)) {
ereorder <- match(x$edge[, 2], xe[, 2])
if (length(edge.color) > 1) {
edge.color <- rep(edge.color, length.out = Nedge)
edge.color <- edge.color[ereorder]
}
if (length(edge.width) > 1) {
edge.width <- rep(edge.width, length.out = Nedge)
edge.width <- edge.width[ereorder]
}
if (length(edge.lty) > 1) {
edge.lty <- rep(edge.lty, length.out = Nedge)
edge.lty <- edge.lty[ereorder]
}
}
}
yy <- numeric(Ntip + Nnode)
TIPS <- x$edge[x$edge[, 2] <= Ntip, 2]
yy[TIPS] <- seq_len(Ntip)
}
z <- ape::reorder.phylo(x, order = "postorder") ##
if (phyloORclado) {
if (is.null(node.pos))
node.pos <- if (type == "cladogram" && !use.edge.length)
2
else 1
if (node.pos == 1)
yy <- .nodeHeight(z$edge, Nedge, yy)
else {
ans <- .C(ape::node_height_clado, as.integer(Ntip), as.integer(z$edge[,
1]), as.integer(z$edge[, 2]), as.integer(Nedge),
double(Ntip + Nnode), as.double(yy))
xx <- ans[[5]] - 1
yy <- ans[[6]]
}
if (!use.edge.length) {
if (node.pos != 2)
xx <- .nodeDepth(Ntip, Nnode, z$edge, Nedge,
node.depth) - 1
xx <- max(xx) - xx
}
else {
xx <- .nodeDepthEdgelength(Ntip, Nnode, z$edge, Nedge,
z$edge.length)
}
}
else {
twopi <- 2 * pi
rotate.tree <- twopi * rotate.tree/360
if (type != "unrooted") {
TIPS <- x$edge[which(x$edge[, 2] <= Ntip), 2]
xx <- seq(0, twopi * (1 - 1/Ntip) - twopi * open.angle/360,
length.out = Ntip)
theta <- double(Ntip)
theta[TIPS] <- xx
theta <- c(theta, numeric(Nnode))
}
switch(type, fan = {
theta <- .nodeHeight(z$edge, Nedge, theta)
if (use.edge.length) {
r <- .nodeDepthEdgelength(Ntip, Nnode, z$edge,
Nedge, z$edge.length)
} else {
r <- .nodeDepth(Ntip, Nnode, z$edge, Nedge, node.depth)
r <- 1/r
}
theta <- theta + rotate.tree
if (root.edge) r <- r + x$root.edge
xx <- r * cos(theta)
yy <- r * sin(theta)
}, unrooted = {
nb.sp <- .nodeDepth(Ntip, Nnode, z$edge, Nedge, node.depth)
XY <- if (use.edge.length) ape::unrooted.xy(Ntip, Nnode,
z$edge, z$edge.length, nb.sp, rotate.tree) else unrooted.xy(Ntip,
Nnode, z$edge, rep(1, Nedge), nb.sp, rotate.tree)
xx <- XY$M[, 1] - min(XY$M[, 1])
yy <- XY$M[, 2] - min(XY$M[, 2])
}, radial = {
r <- .nodeDepth(Ntip, Nnode, z$edge, Nedge, node.depth)
r[r == 1] <- 0
r <- 1 - r/Ntip
theta <- .nodeHeight(z$edge, Nedge, theta) + rotate.tree
xx <- r * cos(theta)
yy <- r * sin(theta)
})
}
if (phyloORclado) {
if (!horizontal) {
tmp <- yy
yy <- xx
xx <- tmp - min(tmp) + 1
}
if (root.edge) {
if (direction == "rightwards")
xx <- xx + x$root.edge
if (direction == "upwards")
yy <- yy + x$root.edge
}
}
if (no.margin)
par(mai = rep(0, 4))
if (show.tip.label)
nchar.tip.label <- nchar(x$tip.label)
max.yy <- max(yy)
getLimit <- function(x, lab, sin, cex) {
s <- strwidth(lab, "inches", cex = cex)
if (any(s > sin))
return(1.5 * max(x))
Limit <- 0
while (any(x > Limit)) {
i <- which.max(x)
alp <- x[i]/(sin - s[i])
Limit <- x[i] + alp * s[i]
x <- x + alp * s
}
Limit
}
if (is.null(x.lim)) {
if (phyloORclado) {
if (horizontal) {
xx.tips <- xx[seq_len(Ntip)]
if (show.tip.label) {
pin1 <- par("pin")[1]
tmp <- getLimit(xx.tips, x$tip.label, pin1,
cex)
tmp <- tmp + label.offset
}
else tmp <- max(xx.tips)
x.lim <- c(0, tmp)
}
else x.lim <- c(1, Ntip)
}
else switch(type, fan = {
if (show.tip.label) {
offset <- max(nchar.tip.label * 0.018 * max.yy *
cex)
x.lim <- range(xx) + c(-offset, offset)
} else x.lim <- range(xx)
}, unrooted = {
if (show.tip.label) {
offset <- max(nchar.tip.label * 0.018 * max.yy *
cex)
x.lim <- c(0 - offset, max(xx) + offset)
} else x.lim <- c(0, max(xx))
}, radial = {
if (show.tip.label) {
offset <- max(nchar.tip.label * 0.03 * cex)
x.lim <- c(-1 - offset, 1 + offset)
} else x.lim <- c(-1, 1)
})
}
else if (length(x.lim) == 1) {
x.lim <- c(0, x.lim)
if (phyloORclado && !horizontal)
x.lim[1] <- 1
if (type %in% c("fan", "unrooted") && show.tip.label)
x.lim[1] <- -max(nchar.tip.label * 0.018 * max.yy *
cex)
if (type == "radial")
x.lim[1] <- if (show.tip.label)
-1 - max(nchar.tip.label * 0.03 * cex)
else -1
}
if (phyloORclado && direction == "leftwards")
xx <- x.lim[2] - xx
if (is.null(y.lim)) {
if (phyloORclado) {
if (horizontal)
y.lim <- c(1, Ntip)
else {
pin2 <- par("pin")[2]
yy.tips <- yy[seq_len(Ntip)]
if (show.tip.label) {
tmp <- getLimit(yy.tips, x$tip.label, pin2,
cex)
tmp <- tmp + label.offset
}
else tmp <- max(yy.tips)
y.lim <- c(0, tmp)
}
}
else switch(type, fan = {
if (show.tip.label) {
offset <- max(nchar.tip.label * 0.018 * max.yy *
cex)
y.lim <- c(min(yy) - offset, max.yy + offset)
} else y.lim <- c(min(yy), max.yy)
}, unrooted = {
if (show.tip.label) {
offset <- max(nchar.tip.label * 0.018 * max.yy *
cex)
y.lim <- c(0 - offset, max.yy + offset)
} else y.lim <- c(0, max.yy)
}, radial = {
if (show.tip.label) {
offset <- max(nchar.tip.label * 0.03 * cex)
y.lim <- c(-1 - offset, 1 + offset)
} else y.lim <- c(-1, 1)
})
}
else if (length(y.lim) == 1) {
y.lim <- c(0, y.lim)
if (phyloORclado && horizontal)
y.lim[1] <- 1
if (type %in% c("fan", "unrooted") && show.tip.label)
y.lim[1] <- -max(nchar.tip.label * 0.018 * max.yy *
cex)
if (type == "radial")
y.lim[1] <- if (show.tip.label)
-1 - max(nchar.tip.label * 0.018 * max.yy * cex)
else -1
}
if (phyloORclado && direction == "downwards")
yy <- y.lim[2] - yy
if (phyloORclado && root.edge) {
if (direction == "leftwards")
x.lim[2] <- x.lim[2] + x$root.edge
if (direction == "downwards")
y.lim[2] <- y.lim[2] + x$root.edge
}
asp <- if (type %in% c("fan", "radial", "unrooted")) 1 else NA
L <- list(type = type, use.edge.length = use.edge.length,
node.pos = node.pos, node.depth = node.depth, show.tip.label = show.tip.label,
show.node.label = show.node.label, font = font, cex = cex,
adj = adj, srt = srt, no.margin = no.margin, label.offset = label.offset,
x.lim = x.lim, y.lim = y.lim, direction = direction,
tip.color = tip.color, Ntip = Ntip, Nnode = Nnode, root.time = x$root.time,
align.tip.label = align.tip.label)
invisible(L)
}
epurdom/clusterCells documentation built on April 28, 2024, 8:14 p.m.
R Package Documentation
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Defines functions .plotDendro
#'@title Plot dendrogram of ClusterExperiment object
#'
#'@description Plots the dendrogram saved in a ClusterExperiment object
#'
#'@param x a \code{\link{ClusterExperiment}} object.
#'@param leafType if "samples" the dendrogram has one leaf per sample, otherwise
#' it has one per cluster.
#'@param main passed to the \code{plot.phylo} function to set main title.
#'@param sub passed to the \code{plot.phylo} function to set subtitle.
#'@param plotType one of 'name', 'colorblock' or 'id'. If 'Name' then dendrogram
#' will be plotted, and name of cluster or sample (depending on type of value
#' for \code{leafType}) will be plotted next to the leaf of the dendrogram. If
#' 'colorblock', rectangular blocks, corresponding to the color of the cluster
#' will be plotted, along with cluster name legend. If 'id' the internal
#' clusterIds value will be plotted (only appropriate if
#' \code{leafType="clusters"}).
#'@param ... arguments passed to the \code{\link{plot.phylo}} function of
#' \code{ape} that plots the dendrogram.
#'@param removeOutbranch logical, only applicable if there are missing samples
#' (i.e. equal to -1 or -2), \code{leafType="samples"} and the dendrogram for
#' the samples was made by putting missing samples in an outbranch. In which
#' case, if this parameter is TRUE, the outbranch will not be plotted, and if
#' FALSE it will be plotted.
#'@param legend character, only applicable if \code{plotType="colorblock"}.
#' Passed to \code{\link{phydataplot}} in \code{\link{ape}} package that is
#' used to draw the color values of the clusters/samples next to the
#' dendrogram. Options are 'none', 'below', or 'side'. (Note 'none' is only
#' available for 'ape' package >= 4.1-0.6).
#'@param nodeColors named vector of colors to be plotted on a node in the
#' dendrogram (calls \code{\link[ape]{nodelabels}}). Names should match the
#' \emph{internal} name of the node (the "NodeId" value, see
#' \code{\link{clusterDendrogram}}).
#'@param clusterLabelAngle angle at which label of cluster will be drawn. Only
#' applicable if \code{plotType="colorblock"}.
#'@param mergeInfo What kind of information about merge to plot on dendrogram.
#' If not equal to "none", will replicate the kind of plot that
#' \code{\link{mergeClusters}} creates, and the input to \code{mergeInfo}
#' corresponds to that of \code{plotInfo} in \code{mergeClusters}.
#' @param colData index (by integer or name) the sample data stored as a
#' \code{DataFrame} in \code{colData} slot of the object. Only discrete valued
#' ("character" or "factor" variables) will be plotted; indexing of continous
#' variables will be ignored. Whether that data is continuous or not will be
#' determined by the properties of \code{colData} (no user input is needed).
#' This argument is only relevant if \code{plotType=="colorblock"} and
#' \code{leafType=="samples"}
#' @param clusterLegend Assignment of colors to the clusters or sample data (as
#' designated by \code{colData} argument) plotted with the dendrogram . If
#' \code{NULL} or a particular variable/cluster are not assigned a color,
#' colors will be assigned internally for sample data and pull from the
#' \code{clusterLegend} slot of the x for the clusters.
#' @inheritParams getClusterIndex
#' @return A dendrogram is plotted. Returns (invisibly) a list with elements
#' \itemize{
#' \item{\code{plottedObject}}{ the \code{phylo} object that is plotted.}
#' \item{\code{originalObject}}{ the \code{phylo} object before adjusting the
#' node/tip labels. }
#' }
#' @aliases plotDendrogram
#' @details If \code{leafType="clusters"}, the plotting function will work best
#' if the clusters in the dendrogram correspond to the primary cluster. This
#' is because the function colors the cluster labels based on the colors of
#' the clusterIds of the primaryCluster
#' @importFrom ape plot.phylo nodelabels
#' @seealso
#' \code{\link{mergeClusters}},\code{\link[ape]{plot.phylo}},
#' \code{\link[ape]{nodelabels}},\code{\link[ape]{tiplabels}}
#'
#' @export
#'
#' @examples
#' data(simData)
#'
#' #create a clustering, for 8 clusters (truth was 3)
#' cl <-clusterSingle(simData, subsample=FALSE,
#' sequential=FALSE,
#' mainClusterArgs=list(clusterFunction="pam", clusterArgs=list(k=8)))
#'
#' #create dendrogram of clusters and then
#' # merge clusters based ondendrogram:
#' cl <- makeDendrogram(cl)
#' cl <- mergeClusters(cl,mergeMethod="adjP",DEMethod="limma",
#' cutoff=0.1,plot=FALSE)
#' plotDendrogram(cl)
#' plotDendrogram(cl,leafType="samples",whichClusters="all",plotType="colorblock")
#'
#' @export
#' @rdname plotDendrogram
setMethod(
f = "plotDendrogram",
signature = "ClusterExperiment",
definition = function(x,whichClusters="dendro",leafType=c("samples","clusters" ), plotType=c("colorblock","name","ids"), mergeInfo="none", main, sub, clusterLabelAngle=45, removeOutbranch=TRUE, legend=c("side","below", "none"),nodeColors=NULL,colData=NULL,clusterLegend=NULL,...)
{
if(is.null(x@dendro_samples) || is.null(x@dendro_clusters)) stop("No dendrogram is found for this ClusterExperiment Object. Run makeDendrogram first.")
leafType<-match.arg(leafType)
plotType<-match.arg(plotType)
possibleMergeValues<-c("none", "all","mergeMethod",.availMergeMethods)
if(!is.null(x@merge_nodeProp)){
otherVals<-colnames(x@merge_nodeProp)[!colnames(x@merge_nodeProp)%in%c("NodeId","Contrast")]
possibleMergeValues<-unique(c(possibleMergeValues,otherVals))
}
mergeInfo<-match.arg(mergeInfo,possibleMergeValues)
legend<-match.arg(legend)
whCl<-getClusterIndex(x,whichClusters=whichClusters,noMatch="throwError")
if(leafType=="clusters" && whCl!=x@dendro_index){
warning("if leafType=='clusters', 'whichClusters' must match the clusters that created the dendrogram. Changing 'leafType' to 'samples'")
leafType<-"samples"
}
if(leafType=="clusters" & length(whCl)>1) stop("If leafType equal to 'clusters' 'whichClusters' must be of length 1 (i.e. single cluster).")
if(missing(main)) main<-ifelse(leafType=="samples","Dendrogram of samples", "Dendrogram of clusters")
if(missing(sub)) sub<-paste("Dendrogram made with '",clusterLabels(x)[dendroClusterIndex(x)],"', cluster index ",dendroClusterIndex(x),sep="")
#This grabs the labels and moves them to node and tip labels
convertedDends<-.setNodeLabels(x,labelType="name",useMergeClusters=FALSE,overrideExistingNode=FALSE,singletonCluster=c("sample"))
dend<- switch(leafType,"samples"=convertedDends$dendro_samples,"clusters"=convertedDends$dendro_clusters)
#---
#make color matrix
#---
cl<-switch(leafType,"samples"=clusterMatrix(x)[,whCl,drop=FALSE],"clusters"=NULL)
if(leafType=="samples" & plotType=="colorblock"){
sData<-.pullColData(x,colData) #returns data.frame
#identify which numeric and remove
if(!is.null(sData)){
whCont<-which(sapply(seq_len(ncol(sData)),function(ii){is.numeric(sData[,ii])}))
if(length(whCont)>0){
warning("argument 'colData' implies using columns of colData that are continuous, which is not handled by plotDendrogram. Those columns will be ignored")
if(length(whCont)< ncol(sData)) sData<-sData[,-whCont,drop=FALSE]
else sData<-NULL
}
}
}
else{
if(!is.null(colData))
warning("argument colData only used if leafType='samples' and plotType='colorblock'. Ignoring input to colData.")
sData<-NULL
}
if(!is.null(sData)){
sClusterLegend<-.makeColors(sData,colors=massivePalette,distinctColors=TRUE,matchClusterLegend = clusterLegend,matchTo="name")
sNames<-colnames(sData)
sData<-sClusterLegend$numClusters
colnames(sData)<-sNames
cl<-cbind(cl,sData)
}
if(!is.null(clusterLegend) || !is.null(sData)){
#preserve those in given clusterLegend that don't match colData (could go with features/rows)
if(is.list(clusterLegend)){ #could be single vector, but in that case, will loose them
whKeep<-names(clusterLegend)[which(!names(clusterLegend)%in% names(sClusterLegend$colorList ))]
clusterLegend<-c(sClusterLegend$colorList,clusterLegend[whKeep])
}
else clusterLegend<-sClusterLegend$colorList
}
if(leafType=="samples") rownames(cl)<-if(!is.null(colnames(x))) colnames(x) else
.makeSampleNames(seq_len(ncol(x)))
if(length(whCl)==1 & is.null(sData)){
leg<-clusterLegend(x)[[whCl]]
if(plotType=="id") leg[,"name"]<-leg[,"clusterIds"]
}
else{
leg<-clusterLegend(x)[whCl]
if(plotType=="id") leg<-lapply(leg,function(x){x[,"name"]<-x[,"clusterIds"]; return(x)})
if(!is.null(sData)){
leg<-c(leg,clusterLegend)
}
}
label<-switch(plotType,"name"="name","colorblock"="colorblock","ids"="name")
# mergePlotType=NULL,mergeMethod=NULL,mergeOutput=NULL,
if(is.na(x@merge_dendrocluster_index)) mergeInfo<-"none"
if(mergeInfo=="none"){
mergeInfo<-NULL
mergeMethod<-NULL
}
else if(!is.na(x@merge_dendrocluster_index)){ #has node prop info, even if no merge cluster
if(mergeInfo=="mergeMethod"){
if(is.na(x@merge_index)){
warning("Cannot plot merge method because there is none. Plotting all")
mergeInfo<-"all"
}
else{
mergeMethod<-x@merge_method
}
}
else if(mergeInfo==x@merge_method ) mergeMethod<-x@merge_method #only do dotted lines if matches saved merged method -- is this good default or no? not sure .plotDendro works otherwise from ClusterExperiment object
else mergeMethod<-"none"
} else{
warning("There is no information about merging -- will ignore input to 'mergeInfo'")
}
phyloOut<-.plotDendro(dendro=dend,leafType=leafType,mergeMethod=mergeMethod,mergePlotType=mergeInfo,mergeOutput=nodeMergeInfo(x),clusterLegendMat=leg,clObj=cl,plotType=label,main=main,sub=sub,removeOutbranch=removeOutbranch,legend=legend,clusterLabelAngle=clusterLabelAngle,...)
if(!is.null(nodeColors)){
if(is.null(names(nodeColors))) warning("Must give names to node colors, ignoring argument nodeColors")
m<-match(names(nodeColors),phyloOut$originalObject$node.label)
nodeColors<-nodeColors[!is.na(m)]
m<-m[!is.na(m)]
if(length(m)>0){
ape::nodelabels(rep("",length(nodeColors)),m+length(phyloOut$originalObject$tip.label), frame = "c", bg = nodeColors,cex=1/par("cex"))
}
else{warning("No names of node colors match node name, ignoring argument nodeColors")}
}
invisible(phyloOut)
})
########
# Internal plotting function used by both mergeClusters and plotDendrogram
#' @importFrom graphics plot
#' @importFrom ape plot.phylo phydataplot
.plotDendro<-function(dendro, leafType="clusters",mergePlotType=NULL,mergeMethod=NULL,mergeOutput=NULL,clusterLegendMat=NULL,clObj=NULL,plotType=c("name","colorblock"),removeOutbranch=FALSE,legend="below",clusterLabelAngle=45,...){
plotType<-match.arg(plotType)
outbranch<- "outbranch root" %in% phylobase::tdata(dendro)$Position
############
## Everything in this code assumes that phylobase::getNode(dend@dendro_samples,type="tip") is in same order as phyloObj$tip.label
############
#---
#remove the outbranch from the dendrogram and update clObj and mTipsToSamples
#(note this is using phylo4 obj)
#---
if(outbranch & removeOutbranch & leafType=="samples"){
##Find node that is cluster child of root
rootNode<-phylobase::rootNode(dendro)
rootChild<-phylobase::descendants(dendro,node=rootNode,type="children")
position<-.matchToDendroData(inputValue=rootChild,dendro=dendro,matchColumn="NodeIndex",returnColumn="Position")
if(!any(position=="cluster hierarchy node")) stop("coding error -- child of root with outbranch isn't cluster hierarchy node")
if(all(position=="cluster hierarchy node")) stop("coding error -- both child of root are 'cluster hierarchy node', but also have root is 'outbranchroot'")
clusterNode<-rootChild[which(position=="cluster hierarchy node")]
#remove from clObj and update mTipsToSamples
nSamples<-nTips(dendro) #save so have after changed dendro
clusterTips<-phylobase::descendants(dendro,node=clusterNode,type="tip")
if(length(clusterTips)==0) stop("Internal coding error: no unassigned samples in tree")
whKeep<-.matchToDendroData(inputValue=clusterTips, dendro, matchColumn="NodeIndex", returnColumn="SampleIndex")
# all(tipLabels(dendro)==row.names(clObj)[tdata(dendro,type="tip")$SampleIndex])
####Subset dendro
dendro<-phylobase::subset(dendro, node.subtree=clusterNode)
ch<-.checkDendroSamplesFormat(dendro,checkLabels=FALSE)
if(!is.logical(ch)) stop(ch)
#need to create mTipsToSamples -- match of tips to samples ("SampleIndex" is index to full data)
mTipsToSamplesOld <- .matchToDendroData(inputValue=phylobase::getNode(dendro,type="tip"), dendro, matchColumn="NodeIndex", returnColumn="SampleIndex")
#these are still indices in the full sample clObj. Now need to get their indices in the subsetted one:
mToSubset<-match(seq_len(nSamples),whKeep) #gives where each of old sample indices (1:n) map to in new order of future clObj (with NA for those that not in new clObj)
mTipsToSamples<-mToSubset[mTipsToSamplesOld] #use that to map mTipsToSamplesNew to new order
if(any(is.na(mTipsToSamples))) stop("coding error -- didn't update mTipsToSamples correctly")
#these check against names, but doesn't always have names, etc.
# if(!all(tipLabels(dendro)==row.names(clObj)[mTipsToSamplesOld])) stop("coding error -- names no longer match")
# if(!all(sort(tipLabels(dendro))==sort(names(clObj[whKeep,])))) stop("coding error -- don't have the same set of tips after pruning outbranch")
# if(!all(tipLabels(dendro)==row.names(clObj[whKeep,,drop=FALSE])[mTipsToSamples])) stop("coding error -- names no longer match")
if(is.matrix(clObj)) clObj<-clObj[whKeep,,drop=FALSE] else clObj<-clObj[whKeep]
#set outbranch=FALSE because now doesn't exist in tree...
outbranch<-FALSE
}
else{
if(leafType=="samples") mTipsToSamples <- .matchToDendroData(inputValue=phylobase::getNode(dendro,type="tip"), dendro, matchColumn="NodeIndex", returnColumn="SampleIndex")
}
#-------
#convert to phylo object...
#-------
phyloObj <- .convertToPhyClasses(dendro, "phylo",convertNodes=TRUE,convertTips=(leafType!="samples"))
if(leafType=="samples"){
#not clear need this now that convert dendro it before send to .plotDendro
#these are in the order of dendro tips. To
clNames<-phylobase::tipLabels(dendro)
}
plotArgs<-list(...)
if(plotType=="colorblock" && is.null(clObj) && leafType=="samples") stop("Internal coding error: must provide a clustering if plotType='colorblock'")
origPhylo<-phyloObj #so can return and get any information that gets overwritten in phyloObj
#---------------
### For plotting of dendrogram for the merging
### Add information about the merging as node labels and change edge type
### Note: could probably have used nodelabels function and avoided some of this
#---------------
if(!is.null(mergeOutput)){
annotNames<-c("NodeId","Contrast","isMerged", "mergeClusterId")
methods<-colnames(mergeOutput)[!colnames(mergeOutput)%in%annotNames] #possible for which have proportion saved
}
doMerge<-!is.null(mergePlotType) && !is.null(mergeOutput) && mergePlotType %in% c("all",methods,"mergeMethod")
if(doMerge){
#####
#convert names of internal nodes for plotting
#####
#match to order of tree
whToMerge<-which(mergeOutput$isMerged)
nodesToMerge<-as.character(mergeOutput$Node[whToMerge])
m <- match( as.character(mergeOutput$Node),phyloObj$node.label)
if(any(is.na(m))) stop("some nodes in merge node info not in the given dendrogram")
edgeLty <- rep(1, nrow(phyloObj$edge))
if(mergeMethod != "none" && length(whToMerge) > 0){
#which of nodes merged
whMerge <- which(phyloObj$node.label %in% nodesToMerge)
nodeNumbers <- (length(phyloObj$tip) + 1):max(phyloObj$edge)
whEdge <- which(phyloObj$edge[,1] %in% nodeNumbers[whMerge])
edgeLty[whEdge] <- 2
}
if(mergePlotType == "mergeMethod"){
if(!mergeMethod %in% methods) stop("mergeMethod not in methods of output")
valsNodes<-as.character(signif(mergeOutput[,mergeMethod],2))
valsNodes[is.na(valsNodes)]<-"NA" #make them print out as NA -- otherwise doesn't plot
phyloObj$node.label[m] <- valsNodes
# offsetDivide<-3
# dataPct<-.7
}
else if(all(mergePlotType %in% c("all",methods))) {
meth<-if(mergePlotType=="all") methods else methods[methods%in%mergePlotType]
phyloObj$node.label[m] <- apply(mergeOutput[,meth,drop=FALSE],1,
function(x){
whKp<-which(!is.na(x))
#fix up name of FC methods:
mm<-meth[whKp]
mm<-sapply(strsplit(mm,"_"),function(u){if(length(u)==2) return(sprintf("%s(>%s)",u[1],u[2])) else return(u)})
vals<-paste(paste(mm, signif(x[whKp],2), sep=":"), collapse="\n")
vals[is.na(vals)]<-"NA"
return(vals)
})
if(mergePlotType!="all"){
# offsetDivide<-3
# dataPct<-.7
}
else{
# offsetDivide<-2.5
# dataPct<-.7
}
}
phyloObj$node.label[-m]<-""
###Only set these if user doesn't...
if(!"show.node.label" %in% names(plotArgs)) plotArgs$show.node.label<-TRUE
if(!"edge.lty" %in% names(plotArgs)) plotArgs$edge.lty<-edgeLty
}
else{
phyloObj$node.label<-phylobase::nodeLabels(dendro) #use the user-given/assigned node labels
}
###############
### Deal with clusterLegend object:
### - Make default if not provided and
### - If # of clusterings>1 make clusterLegend and clObj matrix appropriate
###############
if(plotType=="colorblock"){
clusterLegend<-TRUE #doesn't do anything right now because phydataplot doesn't have option of no legend...
if(is.null(clusterLegendMat)){
#----
#make default colors, works for vector or matrix clObj
#----
clusterIds<-sort(unique(as.vector(clObj)))
clusterLegendMat <- cbind("clusterIds"=clusterIds, "name"=clusterIds, "color"=bigPalette[seq_along(clusterIds)])
}
else{
if(is.matrix(clObj) && ncol(clObj)>1){
#if not provide list of cluster legends, do only 1st clustering provided (temporary while fixing so works for matrix)
if(!is.list(clusterLegendMat) ) clObj<-clObj[,1,drop=FALSE]
else{
#----
#create one big clObj/clusterLegendMat object that will allow for coloring that is okay.
#----
nclusters<-ncol(clObj)
if(length(clusterLegendMat)!=nclusters) stop("Internal coding error -- wrong length of colors for clustering")
newClusterLegendMat<-clusterLegendMat[[1]]
newCl<-clObj[,1]
#make it general in case some day want more than just 2 clusterings
for(ii in 2:nclusters){
currMat<-clusterLegendMat[[ii]]
currCl<-clObj[,ii]
#note that because subset to those samples that are not -1/-2 on
# clObj[,1], may have entire clusters in other columns of clObj that disappear but still in color matrix with no entry in clObj
#reduce down the currMat to accomodate that
whExist<-which(as.numeric(currMat[,"clusterIds"]) %in% currCl)
currMat<-currMat[whExist, ,drop=FALSE]
whExistingColor<-which(currMat[,"color"] %in% newClusterLegendMat[,"color"])
updatedCurrCl<-currCl
if(length(whExistingColor)>0){
#-----------
#reassign the cluster id to the one matching existing color id.
# only should affect names, not color of newClusterLegendMat
#-----------
matchNew<-match(currMat[whExistingColor,"color"],newClusterLegendMat[,"color"])
oldId<-currMat[whExistingColor,"clusterIds"]
newId<-newClusterLegendMat[matchNew,"clusterIds"]
mexist<-match(currCl,oldId)
newFullId<-as.numeric(newId[mexist])
updatedCurrCl[!is.na(mexist)]<-newFullId[!is.na(mexist)]
#change name so combination, if not already the same
whDiff<-which(newClusterLegendMat[matchNew,"name"]!=currMat[whExistingColor,"name"])
if(length(whDiff)>0){
combName<-paste(newClusterLegendMat[matchNew,"name"],currMat[whExistingColor,"name"],sep="/")
newClusterLegendMat[matchNew[whDiff],"name"]<-combName[whDiff]
}
#remove from current color scheme
currMat<-currMat[-whExistingColor,,drop=FALSE]
}
if(nrow(currMat)>0){
#-----------
# for remaining, add to newClusterLegendMat
# with ids increased to be unique
#-----------
maxNew<-max(as.vector(newCl))
oldId2<-currMat[,"clusterIds"]
newId2<-seq(from=maxNew+1,by=1,length=length(oldId2)) #replace with this in legend
mexist2<-match(currCl,oldId2) #match old ids to the clusterings vector
newFullId2<-as.numeric(newId2[mexist2]) #will get NAs for those that don't match (e.g. have been changed by previous step)
updatedCurrCl[!is.na(mexist2)]<-newFullId2[!is.na(mexist2)]
## change ids in currMat
currMat[,"clusterIds"]<-newId2
## test correct that no overlap in ids or names or colors:
if(any(currMat[,"clusterIds"] %in% newClusterLegendMat[,"clusterIds"])){
stop("Internal coding error: still overlap in cluster Ids")
}
if(any(currMat[,"color"] %in% newClusterLegendMat[,"color"])){
stop("Internal coding error: still overlap in color")
}
## add to new cluster color legend
newClusterLegendMat<-rbind(newClusterLegendMat,currMat)
}
#change them all here (before changed)
currCl<-updatedCurrCl
newCl<-cbind(newCl,currCl)
}
clusterLegendMat<-newClusterLegendMat
colnames(newCl)<-colnames(clObj)
rownames(newCl)<-rownames(clObj)
clObj<-newCl
clusterLegend<-FALSE
}
}
}
}
###############
### Deal with clusterLegend object Part II:
### - Add color of cluster and cluster/sample name to tip labels if plotType=="name"
### - Make colorMat matrix if plotType=="colorblock"
###############
edge.width=1
if(!is.null(clusterLegendMat)){
if(leafType=="clusters"){
#get rid of matching string
#don't need this now that convert before send to .plotDendro
m<-match(gsub("ClusterId","",phyloObj$tip.label),clusterLegendMat[,"clusterIds"])
if(any(is.na(m))) stop("clusterIds in clusterLegend do not match dendrogram labels")
tip.color<-clusterLegendMat[m,"color"]
if(plotType=="colorblock"){
clusterLegendMat<-clusterLegendMat[!clusterLegendMat[,"clusterIds"]%in%c(-1,-2),]
colorMat<-matrix(clusterLegendMat[,"name"],ncol=1)
row.names(colorMat)<-clusterLegendMat[,"name"]
cols<-clusterLegendMat[,"color"]
names(cols)<-clusterLegendMat[,"name"]
}
}
if(leafType=="samples"){
if(is.matrix(clObj) && ncol(clObj)>1){
if(plotType=="colorblock"){
colorMat<-apply(clObj,2,function(x){
m<-match(x,clusterLegendMat[,"clusterIds"])
clusterLegendMat[m,"name"]
})
if(any(dim(colorMat)!=dim(clObj))) stop("Internal coding error: dimensions of colorMat don't match input")
dimnames(colorMat)<-dimnames(clObj)
cols<-clusterLegendMat[,"color"]
names(cols)<-clusterLegendMat[,"name"]
#match samples to order of the tree:
colorMat<-colorMat[mTipsToSamples,]
}
tip.color<-"black"
}
else{
if(is.matrix(clObj)) clObj<-clObj[,1]
m<-match(clObj,clusterLegendMat[,"clusterIds"])
tip.color<-clusterLegendMat[m,"color"]
if(plotType=="colorblock"){
colorMat<-matrix(clusterLegendMat[m,"name"],ncol=1)
colorMat<-colorMat[mTipsToSamples,,drop=FALSE]
rownames(colorMat)<-clNames
cols<-clusterLegendMat[,"color"]
names(cols)<-clusterLegendMat[,"name"]
}
else tip.color<-tip.color[mTipsToSamples]
}
if(plotType=="colorblock"){
#make only edges going to/from nodes in cluster hierarchy have edge.width>0
#Note that some of origPhylo$node.label have NA for value; won't get unique value for these; but these aren't part of cluster hierarchy anyway (in fact could probably just pick those that are NA and use them, but this is safer(?))
ntips<-length(phyloObj$tip.label)
positionValue<-.matchToDendroData(inputValue=origPhylo$node.label, dendro=dendro, matchColumn="NodeId", returnColumn="Position")
whClusterNode<-which(as.character(positionValue)%in% c("cluster hierarchy node","cluster hierarchy tip")) + ntips
whEdgePlot<-which(apply(phyloObj$edge,1,function(x){any(x %in% whClusterNode)}))
edge.width<-rep(0,nrow(phyloObj$edge))
edge.width[whEdgePlot]<-1
}
}
}
else tip.color<-"black"
#Couldn't do this before, because needed cluster id to safely match to clusterLegendMat.
if(leafType=="clusters") phyloObj$tip.label<-phylobase::tipLabels(dendro)
#this next code is hack to deal with error sometimes get if very long edge length -- usually due to unusual distance, etc.
# Divides edge lengths so not too large.
if(max(phyloObj$edge.length)>1e6) phyloObj$edge.length <- phyloObj$edge.length / max(phyloObj$edge.length)
#---------------
# PLOTTING
#-------------
#the percentage of total width will be dataPct/(1+dataPct+offsetPct)
#tree=64%
#data=32%
#offset=3%
dataPct<-0.5
offsetPct<-0.01
.pctCalculation<-function(data,offset){
denom<-1+data+offset
return(c("tree"=1/denom,data=data/denom,offset=offset/denom))
}
# > .pctCalculation(.5,.01)
# tree data offset
# 0.662251656 0.331125828 0.006622517
prohibitOptions<-c("tip.color","node.pos","edge.width","horizontal","direction","type")
if(any(prohibitOptions %in% names(plotArgs))) stop("User cannot set following options to plot.phylo:",paste(prohibitOptions, collapse=","))
plotArgs<-c(plotArgs,list(tip.color=tip.color,node.pos=2,edge.width=edge.width))
if(plotType=="name") do.call(ape::plot.phylo,c(list(phyloObj),plotArgs))
else{
#if colorblock
if(length(grep("show.tip",names(plotArgs)))==0) plotArgs$show.tip.label<-FALSE
sn<-grep("show.node",names(plotArgs))
if(length(sn)>0 && plotArgs[[sn]] && !doMerge){
offsetPct<-1/8
dataPct<-0.6
# > .pctCalculation(.6,1/6)
# tree data offset
# 0.56603774 0.33962264 0.09433962
}
#just calculate needed width for tree...
phyloPlotOut<-do.call(.calculatePlotPhylo,c(list(phyloObj,plot=FALSE),plotArgs))
treeWidth<-phyloPlotOut$x.lim[2]
#plot dendrogram:
do.call(ape::plot.phylo,c(list(phyloObj,x.lim=treeWidth*(1+dataPct+offsetPct)),plotArgs))
nclusters<-ncol(colorMat)
colnames(colorMat)<-NULL
colInput<-function(n){cols}
width<-treeWidth*dataPct/(nclusters+.5)
ape::phydataplot(x=colorMat, phy=phyloObj, style="mosaic",offset=treeWidth*offsetPct, width = width, border = NA, lwd = 3,legend = legend, funcol = colInput)
if(nclusters>1 & !is.null(colnames(clObj))){
xloc<-treeWidth+treeWidth*offsetPct+seq(from=0,by=width,length=nclusters)
xloc<-xloc+width/2
ypos<-par("usr")[4]-0.025*diff(par("usr")[3:4])
adj<-c(0,0)
if("cex" %in% names(list(...))) labcex<-list(...)[["cex"]]
else labcex<-1
text(x=xloc,y=ypos,labels=colnames(clObj),srt=clusterLabelAngle,xpd=NA,adj=adj,cex=labcex)
}
}
invisible(list(plottedObject=phyloObj,originalObject=origPhylo))
}
#' @importFrom ape node_height_clado node_height node_depth node_depth_edgelength is.ultrametric unrooted.xy
###Copy code from ape:plot.phylo so get how calculates x.lim. Just removed the plot parts.
.calculatePlotPhylo<-function (x, type = "phylogram", use.edge.length = TRUE, node.pos = NULL,
show.tip.label = TRUE, show.node.label = FALSE, edge.color = "black",
edge.width = 1, edge.lty = 1, font = 3, cex = par("cex"),
adj = NULL, srt = 0, no.margin = FALSE, root.edge = FALSE,
label.offset = 0, underscore = FALSE, x.lim = NULL, y.lim = NULL,
direction = "rightwards", lab4ut = NULL, tip.color = "black",
plot = TRUE, rotate.tree = 0, open.angle = 0, node.depth = 1,
align.tip.label = FALSE, ...)
{
Ntip <- length(x$tip.label)
if (Ntip < 2) {
warning("found less than 2 tips in the tree")
return(NULL)
}
.nodeHeight <- function(edge, Nedge, yy) .C(ape::node_height,
as.integer(edge[, 1]), as.integer(edge[, 2]), as.integer(Nedge),
as.double(yy))[[4]]
.nodeDepth <- function(Ntip, Nnode, edge, Nedge, node.depth) .C(ape::node_depth,
as.integer(Ntip), as.integer(edge[, 1]), as.integer(edge[,
2]), as.integer(Nedge), double(Ntip + Nnode), as.integer(node.depth))[[5]]
.nodeDepthEdgelength <- function(Ntip, Nnode, edge, Nedge,
edge.length) .C(ape::node_depth_edgelength, as.integer(edge[,
1]), as.integer(edge[, 2]), as.integer(Nedge), as.double(edge.length),
double(Ntip + Nnode))[[5]]
Nedge <- dim(x$edge)[1]
Nnode <- x$Nnode
if (any(x$edge < 1) || any(x$edge > Ntip + Nnode))
stop("tree badly conformed; cannot plot. Check the edge matrix.")
ROOT <- Ntip + 1
type <- match.arg(type, c("phylogram", "cladogram", "fan",
"unrooted", "radial"))
direction <- match.arg(direction, c("rightwards", "leftwards",
"upwards", "downwards"))
if (is.null(x$edge.length)) {
use.edge.length <- FALSE
}
else {
if (use.edge.length && type != "radial") {
tmp <- sum(is.na(x$edge.length))
if (tmp) {
warning(paste(tmp, "branch length(s) NA(s): branch lengths ignored in the plot"))
use.edge.length <- FALSE
}
}
}
if (is.numeric(align.tip.label)) {
align.tip.label.lty <- align.tip.label
align.tip.label <- TRUE
}
else {
if (align.tip.label)
align.tip.label.lty <- 3
}
if (align.tip.label) {
if (type %in% c("unrooted", "radial") || !use.edge.length ||
is.ultrametric(x))
align.tip.label <- FALSE
}
if (type %in% c("unrooted", "radial") || !use.edge.length ||
is.null(x$root.edge) || !x$root.edge)
root.edge <- FALSE
phyloORclado <- type %in% c("phylogram", "cladogram")
horizontal <- direction %in% c("rightwards", "leftwards")
xe <- x$edge
if (phyloORclado) {
phyOrder <- attr(x, "order")
if (is.null(phyOrder) || phyOrder != "cladewise") {
x <- ape::reorder.phylo(x)
if (!identical(x$edge, xe)) {
ereorder <- match(x$edge[, 2], xe[, 2])
if (length(edge.color) > 1) {
edge.color <- rep(edge.color, length.out = Nedge)
edge.color <- edge.color[ereorder]
}
if (length(edge.width) > 1) {
edge.width <- rep(edge.width, length.out = Nedge)
edge.width <- edge.width[ereorder]
}
if (length(edge.lty) > 1) {
edge.lty <- rep(edge.lty, length.out = Nedge)
edge.lty <- edge.lty[ereorder]
}
}
}
yy <- numeric(Ntip + Nnode)
TIPS <- x$edge[x$edge[, 2] <= Ntip, 2]
yy[TIPS] <- seq_len(Ntip)
}
z <- ape::reorder.phylo(x, order = "postorder") ##
if (phyloORclado) {
if (is.null(node.pos))
node.pos <- if (type == "cladogram" && !use.edge.length)
2
else 1
if (node.pos == 1)
yy <- .nodeHeight(z$edge, Nedge, yy)
else {
ans <- .C(ape::node_height_clado, as.integer(Ntip), as.integer(z$edge[,
1]), as.integer(z$edge[, 2]), as.integer(Nedge),
double(Ntip + Nnode), as.double(yy))
xx <- ans[[5]] - 1
yy <- ans[[6]]
}
if (!use.edge.length) {
if (node.pos != 2)
xx <- .nodeDepth(Ntip, Nnode, z$edge, Nedge,
node.depth) - 1
xx <- max(xx) - xx
}
else {
xx <- .nodeDepthEdgelength(Ntip, Nnode, z$edge, Nedge,
z$edge.length)
}
}
else {
twopi <- 2 * pi
rotate.tree <- twopi * rotate.tree/360
if (type != "unrooted") {
TIPS <- x$edge[which(x$edge[, 2] <= Ntip), 2]
xx <- seq(0, twopi * (1 - 1/Ntip) - twopi * open.angle/360,
length.out = Ntip)
theta <- double(Ntip)
theta[TIPS] <- xx
theta <- c(theta, numeric(Nnode))
}
switch(type, fan = {
theta <- .nodeHeight(z$edge, Nedge, theta)
if (use.edge.length) {
r <- .nodeDepthEdgelength(Ntip, Nnode, z$edge,
Nedge, z$edge.length)
} else {
r <- .nodeDepth(Ntip, Nnode, z$edge, Nedge, node.depth)
r <- 1/r
}
theta <- theta + rotate.tree
if (root.edge) r <- r + x$root.edge
xx <- r * cos(theta)
yy <- r * sin(theta)
}, unrooted = {
nb.sp <- .nodeDepth(Ntip, Nnode, z$edge, Nedge, node.depth)
XY <- if (use.edge.length) ape::unrooted.xy(Ntip, Nnode,
z$edge, z$edge.length, nb.sp, rotate.tree) else unrooted.xy(Ntip,
Nnode, z$edge, rep(1, Nedge), nb.sp, rotate.tree)
xx <- XY$M[, 1] - min(XY$M[, 1])
yy <- XY$M[, 2] - min(XY$M[, 2])
}, radial = {
r <- .nodeDepth(Ntip, Nnode, z$edge, Nedge, node.depth)
r[r == 1] <- 0
r <- 1 - r/Ntip
theta <- .nodeHeight(z$edge, Nedge, theta) + rotate.tree
xx <- r * cos(theta)
yy <- r * sin(theta)
})
}
if (phyloORclado) {
if (!horizontal) {
tmp <- yy
yy <- xx
xx <- tmp - min(tmp) + 1
}
if (root.edge) {
if (direction == "rightwards")
xx <- xx + x$root.edge
if (direction == "upwards")
yy <- yy + x$root.edge
}
}
if (no.margin)
par(mai = rep(0, 4))
if (show.tip.label)
nchar.tip.label <- nchar(x$tip.label)
max.yy <- max(yy)
getLimit <- function(x, lab, sin, cex) {
s <- strwidth(lab, "inches", cex = cex)
if (any(s > sin))
return(1.5 * max(x))
Limit <- 0
while (any(x > Limit)) {
i <- which.max(x)
alp <- x[i]/(sin - s[i])
Limit <- x[i] + alp * s[i]
x <- x + alp * s
}
Limit
}
if (is.null(x.lim)) {
if (phyloORclado) {
if (horizontal) {
xx.tips <- xx[seq_len(Ntip)]
if (show.tip.label) {
pin1 <- par("pin")[1]
tmp <- getLimit(xx.tips, x$tip.label, pin1,
cex)
tmp <- tmp + label.offset
}
else tmp <- max(xx.tips)
x.lim <- c(0, tmp)
}
else x.lim <- c(1, Ntip)
}
else switch(type, fan = {
if (show.tip.label) {
offset <- max(nchar.tip.label * 0.018 * max.yy *
cex)
x.lim <- range(xx) + c(-offset, offset)
} else x.lim <- range(xx)
}, unrooted = {
if (show.tip.label) {
offset <- max(nchar.tip.label * 0.018 * max.yy *
cex)
x.lim <- c(0 - offset, max(xx) + offset)
} else x.lim <- c(0, max(xx))
}, radial = {
if (show.tip.label) {
offset <- max(nchar.tip.label * 0.03 * cex)
x.lim <- c(-1 - offset, 1 + offset)
} else x.lim <- c(-1, 1)
})
}
else if (length(x.lim) == 1) {
x.lim <- c(0, x.lim)
if (phyloORclado && !horizontal)
x.lim[1] <- 1
if (type %in% c("fan", "unrooted") && show.tip.label)
x.lim[1] <- -max(nchar.tip.label * 0.018 * max.yy *
cex)
if (type == "radial")
x.lim[1] <- if (show.tip.label)
-1 - max(nchar.tip.label * 0.03 * cex)
else -1
}
if (phyloORclado && direction == "leftwards")
xx <- x.lim[2] - xx
if (is.null(y.lim)) {
if (phyloORclado) {
if (horizontal)
y.lim <- c(1, Ntip)
else {
pin2 <- par("pin")[2]
yy.tips <- yy[seq_len(Ntip)]
if (show.tip.label) {
tmp <- getLimit(yy.tips, x$tip.label, pin2,
cex)
tmp <- tmp + label.offset
}
else tmp <- max(yy.tips)
y.lim <- c(0, tmp)
}
}
else switch(type, fan = {
if (show.tip.label) {
offset <- max(nchar.tip.label * 0.018 * max.yy *
cex)
y.lim <- c(min(yy) - offset, max.yy + offset)
} else y.lim <- c(min(yy), max.yy)
}, unrooted = {
if (show.tip.label) {
offset <- max(nchar.tip.label * 0.018 * max.yy *
cex)
y.lim <- c(0 - offset, max.yy + offset)
} else y.lim <- c(0, max.yy)
}, radial = {
if (show.tip.label) {
offset <- max(nchar.tip.label * 0.03 * cex)
y.lim <- c(-1 - offset, 1 + offset)
} else y.lim <- c(-1, 1)
})
}
else if (length(y.lim) == 1) {
y.lim <- c(0, y.lim)
if (phyloORclado && horizontal)
y.lim[1] <- 1
if (type %in% c("fan", "unrooted") && show.tip.label)
y.lim[1] <- -max(nchar.tip.label * 0.018 * max.yy *
cex)
if (type == "radial")
y.lim[1] <- if (show.tip.label)
-1 - max(nchar.tip.label * 0.018 * max.yy * cex)
else -1
}
if (phyloORclado && direction == "downwards")
yy <- y.lim[2] - yy
if (phyloORclado && root.edge) {
if (direction == "leftwards")
x.lim[2] <- x.lim[2] + x$root.edge
if (direction == "downwards")
y.lim[2] <- y.lim[2] + x$root.edge
}
asp <- if (type %in% c("fan", "radial", "unrooted")) 1 else NA
L <- list(type = type, use.edge.length = use.edge.length,
node.pos = node.pos, node.depth = node.depth, show.tip.label = show.tip.label,
show.node.label = show.node.label, font = font, cex = cex,
adj = adj, srt = srt, no.margin = no.margin, label.offset = label.offset,
x.lim = x.lim, y.lim = y.lim, direction = direction,
tip.color = tip.color, Ntip = Ntip, Nnode = Nnode, root.time = x$root.time,
align.tip.label = align.tip.label)
invisible(L)
}
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