Description Usage Arguments Details Value Author(s) References Examples
Coordinates and Aids to Interpretation of Superimposed Representation of Double Intra Correspondence Analysis
1 2 3 4 | partial.wwm(ACww,dil = TRUE)
## S3 method for class 'parwwm'
print(x, ...)
"wwm.util.addfactor<-"(x,value)
|
ACww |
an object of class |
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 |
... |
further arguments passed to or from other methods |
value |
list: rbl,cbl,nr,nc |
function 'wwm.util.addfactor<-' is used by 'partial.wwm' function
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 |
x |
an object of class |
value |
list: rbl,cbl,nr,nc |
Campo Elías PARDO cepardot@unal.edu.co
Becue M., Pagès 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 Estadística. 27(1) 1–26
1 2 3 4 5 6 7 8 9 10 | 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
|
Loading required package: ade4
Loading required package: xtable
Loading required package: FactoClass
Loading required package: ggplot2
Loading required package: ggrepel
Loading required package: scatterplot3d
Coordinates were amplified by weight cloud inverses
Partial coordinates on witwit.modelclass: parwwm
$call: partial.wwm(ACww = ww)
Partial coordinates are dilated by number of bands
$nf: 2 axis-components saved Subespace S = R^ 2
$betjS: 35.58152 band-column global quality on S
$betlS: 52.69104 band-row global quality on S
vector length mode content
1 $cw 35 numeric column weights
2 $lw 43 numeric row weights
3 $betl 2 numeric band-row global quality
4 $betj 2 numeric band-column global quality
5 $row.witS 43 numeric row within-inertia on S
6 $col.witS 35 numeric column within-inertia on S
7 $row.cwitS 258 numeric partial row within-inertia on S
8 $col.cwitS 140 numeric partial column within-inertia on S
data.frame nrow ncol content
1 $row.coor 258 2 partial row coordinates
2 $col.coor 140 2 partial column coordinates
3 $row.rel 258 2 partial row quality
4 $col.rel 140 2 partial column quality
5 $row.wit 43 2 row within-inertia
6 $col.wit 35 2 column within-inertia
7 $row.cwit 258 2 partial-row within-inertia
8 $col.cwit 140 2 partial-column within-inertia
9 $qual 4 2 representtion quality cloud l
10 $quaj 6 2 representtion quality cloud j
11 $inLJ 4 6 inertia blocks (l,j)
12 $ji 258 2 partial row indicators
13 $lk 140 2 partial column indicators
14 $cancorj 12 2 band-column cannonical correlations
15 $cancorl 12 2 row-column cannonical correlations
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