the class of objects 'ktab' (K-tables)

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Description

an object of class ktab is a list of data frames with the same row.names in common.
a list of class 'ktab' contains moreover :

blo

: the vector of the numbers of columns for each table

lw

: the vector of the row weightings in common for all tables

cw

: the vector of the column weightings

TL

: a data frame of two components to manage the parameter positions associated with the rows of tables

TC

: a data frame of two components to manage the parameter positions associated with the columns of tables

T4

: a data frame of two components to manage the parameter positions of 4 components associated to an array

Usage

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## S3 method for class 'ktab'
c(...)
## S3 method for class 'ktab'
x[i,j,k]
is.ktab(x)
## S3 method for class 'ktab'
t(x)
## S3 method for class 'ktab'
row.names(x)
## S3 method for class 'ktab'
col.names(x)
tab.names(x)
col.names(x)
ktab.util.names(x)

Arguments

x

an object of the class ktab

...

a sequence of objects of the class ktab

i,j,k

elements to extract (integer or empty): index of tables (i), rows (j) and columns (k)

Details

A 'ktab' object can be created with :
a list of data frame : ktab.list.df
a list of dudi objects : ktab.list.dudi
a data.frame : ktab.data.frame
an object within : ktab.within
a couple of ktabs : ktab.match2ktabs

Value

c.ktab returns an object ktab. It concatenates K-tables with the same rows in common.
t.ktab returns an object ktab. It permutes each data frame into a K-tables. All tables have the same column names and the same column weightings (a data cube).
"[" returns an object ktab. It allows to select some arrays in a K-tables.
is.ktab returns TRUE if x is a K-tables.
row.names returns the vector of the row names common with all the tables of a K-tables and allowes to modifie them.
col.names returns the vector of the column names of a K-tables and allowes to modifie them.
tab.names returns the vector of the array names of a K-tables and allowes to modifie them.
ktab.util.names is a useful function.

Author(s)

Daniel Chessel
Anne B Dufour anne-beatrice.dufour@univ-lyon1.fr Stephane Dray stephane.dray@univ-lyon1.fr

Examples

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data(friday87)
wfri <- data.frame(scale(friday87$fau, scal = FALSE))
wfri <- ktab.data.frame(wfri, friday87$fau.blo)
wfri[2:4, 1:5, 1:3]
c(wfri[2:4], wfri[5])

data(meaudret)
wit1 <- withinpca(meaudret$env, meaudret$design$season, scan = FALSE, 
    scal = "partial")
kta1 <- ktab.within(wit1, colnames = rep(c("S1","S2","S3","S4","S5"), 4))
kta2 <- t(kta1)

if(adegraphicsLoaded()) {
  kplot(sepan(kta2), row.plab.cex = 1.5, col.plab.cex = 0.75)
} else {
  kplot(sepan(kta2), clab.r = 1.5, clab.c = 0.75)
}

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