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pamctdp (version 0.2.2)

partial.wwm: Coordinates and Aids to Interpretation of Superimposed Representation of Double Intra Correspondence Analysis

Description

Coordinates and Aids to Interpretation of Superimposed Representation of Double Intra Correspondence Analysis

Usage

partial.wwm(ACww,dil = TRUE)
## S3 method for class 'parwwm':
print(x, \dots)
"wwm.util.addfactor<-"(x,value)

Arguments

ACww
an object of class wwmodel
dil
when dil=TRUE the partial column coordinates are multiplied by J and the partial column coordinates are multiplied by L
x
object of type parwwm
...
further arguments passed to or from other methods
value
list: rbl,cbl,nr,nc

Value

  • comp1Description of 'comp1'
  • comp2Description of 'comp2'
  • dildilation T/F
  • nfinteger, number of kept axes
  • lwrow weights, a vector with I components
  • cwcolumn weights, a vector with K components
  • row.coorpartial row coordinates
  • col.coorpartial column coordinates
  • row.relquality of the representation of the partial rows
  • col.relquality of the representation of the partial columns
  • row.cwitcontribution to the intra inertia of the partial rows
  • row.cwitScontribution to the intra inertia of the partial rows on the S subspace
  • col.cwitcontribution to the intra inertia of the partial columns
  • col.cwitScontribution to the intra inertia of the partial columns on the S subspace
  • row.witintra inertia of the rows
  • row.witSintra inertia of the rows on the S subspace
  • col.witintra inertia of the columns
  • col.witSintra inertia of the columns on the S subspace
  • quajquality of the representation of the partial row clouds (J)
  • qualquality of the representation of the partial colum clouds (L)
  • betjintra inertia/total inertia of the whole partial row clouds on the axis
  • betjSintra inertia/total inertia of the whole partial row clouds on the S subspace
  • betlintra inertia/total inertia of the whole partial column clouds on the axis
  • betlSintra inertia/total inertia of the whole partial column clouds on the S subspace
  • inLJcotribution to the inertia of blocks (l,j)
  • cancorjcannonical correlation of the partial row clouds
  • cancorlcannonical correlation of the partial column clouds
  • parwwman object of class parwwm
  • xan object of class parwwm
  • valuelist: rbl,cbl,nr,nc

encoding

latin1

Details

function 'wwm.util.addfactor<-' is used by 'partial.wwm' function

References

Becue M., Pag�s J. and Pardo C.E. (2005). Contingency table with a double partition on rows and columns. Visualization and comparison of the partial and global structures. In: Proceedings ASMDA, Brest, France. May,17-20, 2005. Eds: Jacques Janssen and Philippe Lenca. ENST Bretagne. pages 355--364. http://conferences.telecom-bretagne.eu/asmda2005/IMG/pdf/proceedings/355.pdf Pages, J. (2004) Multiple Factor Analysis: Main Features and Application to Sensory Data. Revista Colombiana de Estad�stica. 27(1) 1--26 http://www.estadistica.unal.edu.co/publicaciones/estadistica/rce/V27/V27_1_1Pages.pdf

Examples

Run this code
data(ardeche)
# change column names
names(ardeche$tab) <- paste(ardeche$sta.fac,ardeche$dat.fac,sep="") 
rownames(ardeche$tab) <- # change row names
paste(strtrim(rownames(ardeche$tab),1),substr(rownames(ardeche$tab),4,
	length(rownames(ardeche$tab))),sep="")
coa <- dudi.coa(ardeche$tab, scann = FALSE, nf = 4)
ww <- witwit.model(coa, ardeche$row.blocks, ardeche$col.blocks, scannf = FALSE)
parica <- partial.wwm(ww)
parica

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