Objects from the Class
T.cont objects can be created by calls of the form new("T.cont", ...). The regular usage in this package is to use the table.value function with a table object.Slots
data:- a list containing data or data's name.
dftab: a contingency table object in the form of a data frame, a name or a matching call
coordsx: an integer or a vector indicating the columns of dftab kept
coordsy: an integer or a vector indicating the rows of dftab kept
labelsx: the columns' labels
labelsy: the rows' labels
- "
frame: a positive or null integer. It is the number of the frame containing the data (used
with sys.frame(..., env = data$frame)). Only if the data are not stored (i.e. data$storeData = FALSE).
storeData: a logical indicating if the data should be stored in the returned object.
If FALSE, only the names of the data arguments are stored.
trellis.par- a list of parameters for
lattice call.
It will be passed directly to par.settings arguments of the lattice function. adeg.par- a list of graphical parameters, corresponding to the ones
given by
adegpar() function. lattice.call- a list to create the
trellis object. g.args- a list containing some method parameters linked with the created object of
T.value class.
The specific slots for T.cont objects are:
meanX: a logical to represent columns' means by points.
meanY: a logical to represent rows' means by points.
ablineX: a logical to represent columns' regression lines.
ablineY: a logical to represent columns' regression lines.
stats- a list of internal preliminary calculations
s.misc- a list of some others internal parameters
Call- an object of class
call
Extends
Class T.value, directly.
Class ADEg.T, by class T.value, distance 2.
Class ADEg, by class T.value, distance 3.
Class ADEgORtrellis, by class T.value, distance 4.
Class ADEgORADEgSORtrellis, by class T.value, distance 4.Methods
The methods of the father classes "T.value", "ADEg.T" and "ADEg" can be used by inheritance.
The specific methods for T.cont are:
- panel
signature(object = "T.cont"):
draws mean points and regression lines.