update.i_mca: Updates a Multiple Correspondence Analysis solution

In idm: Incremental Decomposition Methods

Updates a Multiple Correspondence Analysis solution

Description

This function updates the Multiple Correspondence Analysis (MCA) solution on the indicator matrix using the incremental method of Ross, Lim, Lin, & Yang (2008)

Usage

## S3 method for class 'i_mca'
update(object, incdata, current_rank, ff = 0, ...)

Arguments

object	object of class 'i_mca'
incdata	Matrix of incoming data
current_rank	Rank of approximation or number of components to compute; if empty, the full rank is used
ff	Number between 0 and 1 indicating the "forgetting factor" used to down-weight the contribution of earlier data blocks to the current solution. When ff = 0 (default) no forgetting occurs
...	Further arguments passed to update

Value

rowpcoord	Row principal coordinates
colpcoord	Column principal coordinates
rowcoord	Row standard coordinates
colcoord	Column standard coordinates
sv	Singular values
inertia.e	Percentages of explained inertia
levelnames	Attribute names
rowctr	Row contributions
colctr	Column contributions
rowcor	Row squared correlations
colcor	Column squared correlations
rowmass	Row masses
colmass	Column masses
indmat	Indicator matrix
m	Number of cases processed up to this point
ff	A copy of ff in the return object

References

Iodice D'Enza, A., Markos, A., & Buttarazzi, D. (2018). The idm Package: Incremental Decomposition Methods in R. Journal of Statistical Software, Code Snippets, 86(4), 1–24. DOI: 10.18637/jss.v086.c04.

Ross, D. A., Lim, J., Lin, R. S., & Yang, M. H. (2008). Incremental learning for robust visual tracking. International Journal of Computer Vision, 77(1-3), 125–141.

See Also

add_es, i_mca, plot.i_mca

Examples

data(women, package = "idm")
dat = women[,c(1:4)]
res_MCA = i_mca(dat[1:300,])
aa = seq(from = 301, to = nrow(women), by = 200)
aa[length(aa)] = nrow(dat)+1
for (k in c(1:(length(aa)-1)))
{
  res_MCA = update(res_MCA,dat[c((aa[k]):(aa[k+1]-1)),])
}
plot(res_MCA, what = c(FALSE, TRUE), animation = FALSE)

idm documentation built on July 12, 2022, 1:05 a.m.