Nothing
setMethod(f="plot",signature="Trajectories",
function(x,y,name='all',breakpoints=NULL,...){
# make as generic plot function
# takes object of class Trajectories with or without breakpoints
filenames<-getTNames(x)
avd<-getAVD(x)
trajs<-getTraj(x)
ntraj<-length(trajs)
ll<-0
all<-mm<-posx<-labelp<-c()
if(!is.null(breakpoints)) mm_all<-c()
if(name=='all'){
for(i in 1:ntraj){
dat<-data.frame(trajs[[i]])
colnames(dat)<-c("Time","FreeEnergy")
ll<-c(ll,(nrow(dat)+ll[i]))
all<-rbind(all,dat)
posx<-c(posx,(ll[(i+1)]+ll[i])/2)
labelp<-c(labelp,paste("adf.test p-value = ",round(avd[i],3)))
if(!is.null(breakpoints)){
mm<-breakpoints[[i]]
mm_all<-c(mm_all,(ll[(length(ll)-1)]+mm))
}
}
all<-data.frame(all)
colnames(all)<-c("Time","FreeEnergy")
all[,1]<-1:nrow(all)
allavd<-adf.test(all[,2])$p.value
p1<-ggplot(all,aes_string(x='Time',y='FreeEnergy')) +
geom_point(size = 3,alpha=0.3)+
theme(axis.text.x=element_text(size=14))+theme(axis.text.y=element_text(size=14))+
theme(axis.title.x=element_text(size=16))+theme(axis.title.y=element_text(size=16))+
scale_x_continuous("snapshots extracted from replicates")
option1<-option2<-NULL
if(!is.null(breakpoints)) option2<- geom_vline(xintercept=mm_all,color="#3399FF")
if(ntraj>1) option1<-geom_vline(xintercept=ll[2:(length(ll)-1)],color="#CC0000",linetype="dashed",size=1.2)
posy<-c(rep(max(all[,2])+2,ntraj),rep(min(all[,2])-2,ntraj))
posx<-rep(posx,2)
plot(p1+option1+option2+annotate("text",x=posx,y=posy,label=c(filenames,labelp)))
}
else{
dat<-data.frame(trajs[[name]])
colnames(dat)<-c("Time","FreeEnergy")
if(!is.null(breakpoints)) mm<-breakpoints[[name]]
p1<-ggplot(dat,aes_string(x='Time',y='FreeEnergy')) +
geom_point(alpha=0.3,size=3) +
theme(axis.text.x=element_text(size=14))+theme(axis.text.y=element_text(size=14))+
theme(axis.title.x=element_text(size=16))+theme(axis.title.y=element_text(size=16))+
ggtitle(paste(name,'\n',paste("adf.test p-value = ",round(avd[which(x@filenames==name)],3),sep="")))
if(length(mm)>0) option1<-geom_vline(xintercept=mm,color="#3399FF")
plot(p1+option1)
}
})
setMethod(f="plot",signature="TransTrajectories",
function(x,y,labelling=TRUE,...){
filenames<-getTNames(x)
avd<-getAVD(x)
trajs<-getTraj(x)
ntraj<-length(trajs)
ll<-0
all<-posx<-labelp<-c()
for(i in 1:ntraj){
dat<-trajs[[i]]
all<-rbind(all,dat)
ll<-c(ll,(nrow(dat)+ll[length(ll)]))
posx<-c(posx,(ll[(i+1)]+ll[i])/2)
labelp<-c(labelp,paste("adf.test p-value = ",round(avd[i],3)))
}
allavd<-adf.test(all[,2])$p.value
all<-data.frame(all)
all[,1]<-1:nrow(all)
colnames(all)<-c("Time","FreeEnergy")
option1<-option2<-NULL
p1<-ggplot(all,aes_string(x='Time',y='FreeEnergy')) +
geom_point(size = 3,alpha=0.3) +
theme(axis.text.x=element_text(size=14))+theme(axis.text.y=element_text(size=14))+
theme(axis.title.x=element_text(size=16))+theme(axis.title.y=element_text(size=16))
if(ntraj>1) option1<-geom_vline(xintercept=ll[2:(length(ll)-1)],color="#CC0000")
if(labelling){
posy<-c(rep(max(all[,2])+2,ntraj),rep(min(all[,2])-2,ntraj))
posx<-rep(posx,2)
option2<-annotate("text",x=posx,y=posy,label=c(filenames,labelp),size=4)
}
plot(p1+option1+option2)
})
setMethod(f="plot",signature="SegTrajectories",
function(x,y,...){
data<-getSegments(x)
changepoints<-c(c(1,which(diff(data[,28])!=0)+1))
ser<-unique(data[,28])
aa<-data.frame(cbind(1:nrow(data),data[,c(1,6)]))
colnames(aa)<-c("Time","FreeEnergy","Groups")
aa[,3]<-as.character(aa[,3])
ll<-paste("s",1:length(unique(data[,5])),sep="")
cp<-c(0,unique(data[,5]))
posx<-c()
posy<-rep(max(aa[,2]+3),length(ll))
for(i in 1:length(ll)) posx<-c(posx,mean(c(cp[i],cp[(i+1)])))
p1<-ggplot(aa,aes_string(x='Time',y='FreeEnergy',color='Groups'))+geom_point()+scale_color_hue()+theme(legend.position="none")+
theme(axis.text.x=element_text(size=14))+theme(axis.text.y=element_text(size=14))+
theme(axis.title.x=element_text(size=16))+theme(axis.title.y=element_text(size=16))+
scale_y_continuous("Free energy")+
scale_x_continuous("snapshots extracted from replicates")+
geom_vline(xintercept=changepoints[2:length(changepoints)],linetype = "longdash",color="darkgray")
plot(p1+annotate("text",x=posx,y=posy,label=ll,size=4))
})
setMethod(f="plot",signature="SegSeriesTrajectories",
function(x,y,...){
data<-getSegments(x)
changepoints<-c(c(1,which(diff(as.numeric(as.factor(data$seriesID)))!=0)+1))
aa<-data.frame(cbind(1:nrow(data),data$observed,data$subpopulation))
colnames(aa)<-c("Time","FreeEnergy","Subpopulations")
aa[,3]<-as.character(aa[,3])
p1<-ggplot(aa,aes_string(x='Time',y='FreeEnergy',color='Subpopulations')) +
geom_point()+scale_color_hue()+
#geom_point(aes_string(shape='Subpopulations'),size=3)+scale_color_hue()+
ggtitle("Identified subpopulations")+
theme(legend.title=element_text(size=15),legend.text=element_text(size=12),plot.title=element_text(size=20))+
theme(axis.text.x=element_text(size=14))+theme(axis.text.y=element_text(size=14))+
theme(axis.title.x=element_text(size=16))+theme(axis.title.y=element_text(size=16))+
scale_x_continuous("snapshots extracted from replicates")+
geom_vline(xintercept=changepoints[2:length(changepoints)],linetype = "longdash",color="darkgray")
plot(p1)
})
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