COS2CTR.PTAk: Interpretation summaries

In PTAk: Principal Tensor Analysis on k Modes

Interpretation summaries

Description

After a FCA2, a SVDgen, a FCAk or a PTAk computes the traditional guides for interpretations used in PCA and correspondence analysis: COS2 or the percentage of variability rebuilt by the component and CTR or the amount of contribution towards that component.

Usage

COS2(solu, mod=1, solnbs=2:4)
CTR(solu, mod=1, solnbs=1:4, signed = TRUE, mil = TRUE)

Arguments

solu	an object inheriting from class PTAk, representing a generalised singular value decomposition
mod	an integer representing the mode number entry, 1 is row, 2 columns, ...
solnbs	a vector of integers representing the tensor numbers in the listing summary
signed	logical to use signed-CTR from affect the sign of corresponding value in solu[[mod]]$v[,c ], c defined by solnbs.
mil	logical

Details

Classical measures helping to interpret the plots in PCA, FCA and in PTAk as well. The sum of the COS2 across all the components needed to rebuild fully the tensor analysed) would make 1000 and the sum pf the CTR across the entry mode would be 1000.

Value

a matrix whose columns are the COS2 or CTR as per thousands (‰) for the mode considered

Author(s)

Didier G. Leibovici

References

Escoufier Y (1985) L'Analyse des correspondances : ses propriétés et ses extensions. ISI 45th session Amsterdam.

Leibovici D(1993) Facteurs à Mesures Répétées et Analyses Factorielles : applications à un suivi Epidémiologique. Université de Montpellier II. PhD Thesis in Mathématiques et Applications (Biostatistiques).

Leibovici DG (2010) Spatio-temporal Multiway Decomposition using Principal Tensor Analysis on k-modes:the R package PTAk. Journal of Statistical Software, 34(10), 1-34. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.18637/jss.v034.i10")}

See Also

PTAk, FCA2, FCAk, summary.FCAk, plot.PTAk

Examples

 data(crimerate)
  cri.FCA2 <- FCA2(crimerate)
   summary(cri.FCA2)
    plot(cri.FCA2, mod = c(1,2), nb1 = 2, nb2 = 3) # unscaled
    plot(cri.FCA2, mod = c(1,2), nb1 = 2, nb2 = 3, coefi = 
    	list(c(0.130787,0.130787),c(0.104359,0.104359)) ) # symmetric-map biplot
   CTR(cri.FCA2, mod = 1, solnbs = 2:4)
   CTR(cri.FCA2, mod = 2, solnbs = 2:4)
 COS2(cri.FCA2, mod = 2, solnbs = 2:4)
 ##### useful fonctions
 ##selecting and sorting out dimensions positive and negative sides
 "ctrcos2" <-function(Ta, mod=1, dim=2, NegPos=TRUE, select=c("avg",12,"none"),nbdig=2, 
 			cos2min=333){
	dim=c(dim, dim+1)
	ctr=CTR(Ta,mod=mod,solnbs=dim);cos2=COS2(Ta,mod=mod,solnbs=dim)
	val=round(Ta[[mod]]$v[dim,][1,],digits=nbdig)
	oo=order(ctr[,1],decreasing=TRUE)
	if(NegPos)oo=order(val,decreasing=TRUE)
	out=cbind(ctr[oo,1],cos2[oo,1],val[oo])
	colnames(out)=c("ctr","cos2",paste0("dim",dim[1]))
	if(select[1]=="none") sout=0
	if(select[1]=="avg") sout= 1000/length(val)
	if(is.numeric(select[1])) sout=select[1]
return(out[ out[,1]>=sout | out[,2]>=cos2min, ])	 
}#ctrcos2

## plot ctr cos2
"plotctrcos2"<-function(sol,mod12=c(1,2),dim=2, ratio2avg=TRUE, col=c(1,2),pch=c("-","°"), 
				posi=c(2,3),reposi=TRUE, cos2min=333,select="avg",...){
	### ctrcos2 ini Ta,mod=1,dim=2, NegPos=TRUE, select=c("avg",12,"none"), nbdig=2, cos2min=333
	pre<-function(mod=1,soldim=2, ...){
	diim=length(sol[[mod]]$v[1,])
	ctrov= ctrcos2(sol,dim= soldim,mod=mod,...)	
	x=ctrov[,1]*sign(ctrov[,3])
	if(ratio2avg)x=round(x/(1000/diim),2)
	y=ctrov[,2]
	lab=rownames(ctrov)
	len=dim(ctrov)[1]
	return(list("x"=x,"y"=y,"len"=len,"lab"=lab))
	}
	if(length(col)<length(mod12))col=rep(col,length(mod12))
	if(length(pch)<length(mod12))pch=rep(pch,length(mod12))
	x=NULL;y=NULL;coul=NULL;pchl=NULL;lab=NULL;poslab=NULL
	for(m in mod12){
		prep=pre(mod=m,soldim=dim,...)
		x=c(x,prep$x);y=c(y,prep$y);
        coul=c(coul,rep(col[m],prep$len));pchl=c(pchl,rep(pch[m],prep$len))
		repos=rep(posi[m],prep$len); if(reposi)repos=sample(1:4,prep$len, replace=TRUE)
		lab=c(lab,prep$lab);poslab=c(poslab,repos)
	}
	summsol=summary(sol)
	
	if(match("FCA2" ,class(sol),nomatch=0)>0) xlabe=paste0( "Global pct ",
	round(summsol[dim,4],2), " FCA pct",round(summsol[dim,5],2)) else 
	xlabe=paste0( " local pxt",round(summsol[dim,4],2), " Global pct", round(summsol[dim,5],2))
	dimi=paste0("dim",dim)
	if(ratio2avg)ctrlab="CTR (signed ctr /(uniform ctr))" else ctrlab="CTR (signed)"
	if(!is.null(cos2min))cos2lab=paste("COS2 (> ",cos2min,")")else cos2lab= "COS2"
	plot(x,y,xlab=ctrlab, main=paste(dimi, xlabe ),ylab= cos2lab,col=coul,
	             pch=pchl,ylim=c(min(y),1050),xlim=c(min(x-0.5),max(x+0.5)))
	abline(v=0,col=4,lty=2)
	abline(v=1,col=3,lty=2)
	abline(v=-1,col=3,lty=2)
	text(x,y,lab,pos=poslab, col=coul)
return(cbind(x,y,lab,coul,pchl,poslab))
}#plotctrcos2

ctrcos2(cri.FCA2,mod=1)
ctrcos2(cri.FCA2,mod=2)
plotctrcos2(cri.FCA2)
 

PTAk documentation built on March 31, 2023, 5:17 p.m.