pamctdp (version 0.2.3)

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 the inve of the column band weight and the partial column coordinates are multiplied by the inverse of the column band weight but it is FALSE the multipliers are J and L

x

object of type parwwm

...

further arguments passed to or from other methods

value

list: rbl,cbl,nr,nc

Value

• comp1
  Description of 'comp1'
• comp2
  Description of 'comp2'
• dil
  dilation T/F
• nf
  integer, number of kept axes
• lw
  row weights, a vector with I components
• cw
  column weights, a vector with K components
• row.coor
  partial row coordinates
• col.coor
  partial column coordinates
• row.rel
  quality of the representation of the partial rows
• col.rel
  quality of the representation of the partial columns
• row.cwit
  contribution to the intra inertia of the partial rows
• row.cwitS
  contribution to the intra inertia of the partial rows on the S subspace
• col.cwit
  contribution to the intra inertia of the partial columns
• col.cwitS
  contribution to the intra inertia of the partial columns on the S subspace
• row.wit
  intra inertia of the rows
• row.witS
  intra inertia of the rows on the S subspace
• col.wit
  intra inertia of the columns
• col.witS
  intra inertia of the columns on the S subspace
• quaj
  quality of the representation of the partial row clouds (J)
• qual
  quality of the representation of the partial colum clouds (L)
• betj
  intra inertia/total inertia of the whole partial row clouds on the axis
• betjS
  intra inertia/total inertia of the whole partial row clouds on the S subspace
• betl
  intra inertia/total inertia of the whole partial column clouds on the axis
• betlS
  intra inertia/total inertia of the whole partial column clouds on the S subspace
• inLJ
  cotribution to the inertia of blocks (l,j)
• cancorj
  cannonical correlation of the partial row clouds
• cancorl
  cannonical correlation of the partial column clouds
• parwwm
  an object of class parwwm
• x
  an object of class parwwm
• value
  list: 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

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