R/scalp.infl.R

In erpR: Event-related potentials (ERP) analysis, graphics and utility functions

scalp.infl <-
function(base, numbers, smo=NULL, layout=1, outnumber=1, ylims=12, yrev=FALSE, startmsec=-200, endmsec=1200, lwd=c(1,2), lty=1, col="black", out.col="red", erplist=NULL, t.axis=seq(-100,endmsec,200), scalp.array=NULL)

{


# preliminary checks
	if (is.null(erplist)){
	stop("an erplist object containing ERP data frames must be specified!", call.=F)
	}

	#### object checks
	object.names=paste(base, numbers, sep="")
	if (any(!object.names%in%names(erplist))){
		missing.objects=object.names[!object.names%in%names(erplist)]
		missing.object.collist=paste(missing.objects, "\n", sep="")
		stop("The following objects are not contained in the erplist specified:\n", missing.object.collist, call.=F)
	}


# la funzione contiene all'interno una funzione che crea il panel. Questa funzione a sua volta contiene la funzione scalp.infl.endo, che è quella che effettivamente fa il grafico appoggiandosi alla funzione scalp.endo. 


scalp.infl.panel=function(panel)
	{
		scalp.infl.endo=function(base, numbers, outline, smo, col, startmsec, endmsec, yrev, ylims, lwd, lty, color.list=c("black","red"), layout, erplist=erplist){
		text=paste(base,numbers[1],sep="")
		average.temp=erplist[[paste(base,numbers[1],sep="")]]
		for (i in 2:length(numbers)){
			average.temp=average.temp+erplist[[paste(base,numbers[i], sep="")]]	
			}
		average=average.temp/length(numbers)
		
		average.excl=(average.temp-erplist[[paste(base,outline, sep="")]])/(length(numbers)-1)

		scalp.endo=function(categ, smo=NULL, label=c("type1"), layout=1, ylims, yrev=TRUE, startmsec=-200, 	endmsec=1200, lwd=1, lty=1, color.list=c("black","red")) {

	if (length(lwd)==1){
		lwd=rep(lwd, length(categ))}
	if (length(lty)==1){
		lty=rep(lty, length(categ))}

	if (class(categ)!="list"){
			stop("input object must be a list!!")}
if (layout[1]==1){
electrodes=c("yaxis","Fp1", "blank", "Fp2","legend", "F7", "F3", "FZ", "F4", "F8", "FT7", "FC3", "FCZ", "FC4", "FT8", "T3", "C3", "CZ","C4","T4","TP7", "CP3", "CPZ", "CP4", "TP8", "T5", "P3", "PZ", "P4", "T6", "xaxis", "O1", "OZ", "O2", "blank")
	}
	if (layout[1]==2){
	electrodes=c("yaxis","Fp1", "FPZ", "Fp2","legend", "F7", "F3", "FZ", "F4", "F8", "FT7", "FC3", "FCZ", "FC4", "FT8", "T7", "C3", "CZ","C4","T8","TP7", "CP3", "CPZ", "CP4", "TP8", "P7", "P3", "PZ", "P4", "P8", "xaxis", "O1", "OZ", "O2", "blank")
	}
		if (layout[1]==3){
	electrodes=c("yaxis","Fp1", "Fpz", "Fp2","legend", "F7", "F3", "FZ", "F4", "F8", "FT7", "FC3", "FCz", "FC4", "FT8", "T3", "C3", "Cz","C4","T4","TP7", "CP3", "CPz", "CP4", "TP8", "T5", "P3", "PZ", "P4", "T6", "xaxis", "O1", "blank", "O2", "blank")
	}
		if (layout[1]==4){
		electrodes=c("yaxis", "Fp1", "blank", "Fp2", "legend","blank", "AF3", "blank", "AF4", "blank", "F7", "F3", "Fz", "F4", "F8", "FC5", "FC1", "FCz", "FC2", "FC6", "T7", "C3", "Cz", "C4", "T8", "blank", "CP1", "CPz", "CP2", "blank", "P7", "P3", "Pz", "P4", "P8", "blank","O1","blank", "O2", "blank")
		}
	if (layout[1]==5){
		electrodes=c("yaxis", "Fp1", "Fpz", "Fp2", "legend","blank", "AF3", "blank", "AF4", "blank", "F7", "F3", "Fz", "F4", "F8", "FC5", "FC1", "blank", "FC2", "FC6", "T7", "C3", "Cz", "C4", "T8", "CP5", "CP1", "blank", "CP2", "CP6", "P7", "P3", "Pz", "P4", "P8","PO7", "PO3", "POz", "PO4", "PO8", "blank","O1","Oz", "O2", "blank" )
		}
	if (length(layout)>1){
		electrodes=layout
	}		
	
			
			
	## ci sono incongruenze con le etichette degli elettrodi. Per non fermarmi le cambio momentaneamente nella 		seguente #maniera T7=T3, T4=T8, P7=T5, T6=P8

	if (ylims=="auto"){
		## mergio tutti i dataset per riscalare gli assi rispetto a massimo e minimo 
		alldata=NULL
			for (i in 1:length(categ)){
				alldata=rbind(alldata, categ[[i]])
			}
		ymax=max(alldata)
		ymin=min(alldata)
		yedge=max(c(ymax, abs(ymin)))#calcolo questo yedge in modo da fare limiti delle y simmetrici
		# aggiungo una perecentuale per evitare che il grafico sbordi (il)
		yedge=c(-yedge,yedge)
		}
	if (ylims!="auto"){
		yedge=ylims
		yedge=c(-ylims, ylims)
		}	

	if (yrev==TRUE){
		yedge=sort(yedge, decreasing=T)
		}

	oldpar <- par(no.readonly=TRUE) #questo pezzo è per risettare alla fine della funzione i vecchi parametri. L'ho preso da "An introduction to R" pag. 68. Vedi anche sotto.

	par(mfrow=c(7,5), mai=c(0,0,0,0))
	
	if (layout[1]==5)
   {
   par(mfrow=c(10,5), mai=c(0,0,0,0))
   }
   if (layout[1]==4)
   {
   par(mfrow=c(8,5), mai=c(0,0,0,0))
   }
  if (!is.null(scalp.array)){
	par(mfrow=scalp.array, mai=c(0,0,0,0))
}
	
	
		for (i in 1:(length(electrodes))){
		if (electrodes[i]=="yaxis"){
		plot(1, type="n", frame.plot=FALSE,xlim=c(1,dim(categ[[1]])[1]),xaxt="n",yaxt="n",ylim=c(yedge[1]+yedge[1]/3,yedge[2]+(yedge[2]/3)))
	axis(side=2, pos= dim(categ[[1]])[1]/2, at=c(round(ceiling(yedge[1]),0),round(ceiling(yedge[1])/2,0),0,round(floor(yedge[2])/2,0),round(floor(yedge[2]),0)), cex.axis=0.8, las=2)
	text((dim(categ[[1]])[1]/2)+(dim(categ[[1]])[1]/8),0, labels=expression(paste(mu,"V")), cex=1.4)
	}
			if (electrodes[i]=="blank") {
				plot.new()
			}
			if (electrodes[i]=="legend"){
				plot.new()
	legend("center", legend=c("Average all", paste("Average no subj", outline)), lty=lty, col=color.list, cex=1.2, lwd=lwd)

			}
			if (electrodes[i]=="xaxis"){
plot(1, type="n", frame.plot=FALSE,xlim=c(1,dim(categ[[1]])[1]),xaxt="n",yaxt="n", ylim=c(yedge[1]+yedge[1]/3,yedge[2]+(yedge[2]/3)))
		axis(1, pos=0, at=msectopoints(t.axis, dim(categ[[1]])[1], startmsec, endmsec), labels=paste(t.axis))
		}
			if (!electrodes[i]%in%c("xaxis", "yaxis", "legend", "blank")) {
				if(!is.null(smo)){
				el=smooth.spline(categ[[1]][[electrodes[i]]][1:dim(categ[[1]])[1]], spar=smo)
				} else {
					el=categ[[1]][[electrodes[i]]][1:dim(categ[[1]])[1]]
				}
				plot(el, type="l", ylim=c(yedge[1]+yedge[1]/3,yedge[2]+(yedge[2]/3)),col=color.list[1], main="", ylab="", xlab="", cex.main=0.85,xlim=c(1,dim(categ[[1]])[1]),xaxt="n",yaxt="n",frame.plot=FALSE, lwd=lwd[1], lty=lty[1])
				##### di seguito ho semplicemente calcolato, tramite una proporzione, il punto che corrisponde allo 0
					totalendmsec=endmsec+abs(startmsec)
					zeropoint=(abs(startmsec)*dim(categ[[1]])[1])/totalendmsec
					segments(x0=zeropoint, y0=-0.8, x1=zeropoint, y1=0.5, lwd=1.5)
					abline(h=0, lty="longdash")
					mtext(electrodes[i],side=3, line=-2)
		if (length(categ)>1&electrodes[i]!="blank") {
					for (k in 2:length(categ)){
						if(!is.null(smo)){
							el=smooth.spline(categ[[k]][[electrodes[i]]][1:dim(categ[[k]])[1]], spar=smo)
						} else {
								el=categ[[k]][[electrodes[i]]][1:dim(categ[[k]])[1]]
						}
						lines(el,col=color.list[k], lwd=lwd[k],lty=lty[k])
						}
			} 
			}
		}
	par(oldpar)#questo pezzo è per resettare alla fine della funzione i vecchi parametri. L'ho preso da "An 
	#introduction to R" pag. 68. Vedi anche sotto.
	}



		scalp.endo(list(average, average.excl),smo=smo,color.list=color.list, startmsec=startmsec, endmsec=endmsec, ylims=ylims, yrev=yrev, lwd=lwd, lty=lty, layout=layout)	
		}

		
		scalp.infl.endo(base=base, numbers=numbers, outline=panel$outnumber, layout=layout, smo=smo, ylims=ylims, yrev=yrev, startmsec=startmsec, endmsec=endmsec, color.list=c(col, out.col), lwd=lwd, lty=lty,erplist=erplist)
		
		panel
		
		}
		panel <- rp.control() #se volessi creare più pannelli allora dovrei aggiungere un'altro panel.
       rp.listbox(panel, outnumber, numbers, labels=as.character(numbers), action = scalp.infl.panel, initval=numbers[1], title="Subject")
	   rp.do(panel, scalp.infl.panel)
	   
	   
	   		
   }