PTAk (version 2.0.0)

COS2-CTR: 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)

Value

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

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

Author

Didier G. Leibovici

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.

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. 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)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)