ktab {ade4} | R Documentation |
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 :
: the vector of the numbers of columns for each table
: the vector of the row weightings in common for all tables
: the vector of the column weightings
: a data frame of two components to manage the parameter positions associated with the rows of tables
: a data frame of two components to manage the parameter positions associated with the columns of tables
: a data frame of two components to manage the parameter positions of 4 components associated to an array
## 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)
x |
an object of the class |
... |
a sequence of objects of the class |
i,j,k |
elements to extract (integer or empty): index of tables (i), rows (j) and columns (k) |
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 ktab
s : ktab.match2ktabs
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.
Daniel Chessel
Anne B Dufour anne-beatrice.dufour@univ-lyon1.fr
Stephane Dray stephane.dray@univ-lyon1.fr
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) }