Factor Analysis Objects
- DESCRIPTION:
-
The class of objects that results from fitting factor analysis models.
- GENERATION:
-
This class of objects is returned from factanal.
- METHODS:
-
The class "factanal" has methods for the following generic functions:
biplot, fitted, print, residuals, rotate, summary.
- STRUCTURE:
-
The "factanal" object is implemented as a list
with the following components:
- loadings:
-
orthogonal matrix of class "loadings" giving the loadings for each factor.
The first column is the linear combination of columns of x defining
the first factor , etc.
- uniquenesses:
-
vector of the standardized uniquenesses for each variable.
- correlation:
-
the correlation matrix of the data.
This is what is being modeled.
- criteria:
-
information on the optimization.
In the case of a principal factor solution, this merely gives the number of
iterations used.
For maximum likelihood the objective is also given.
- factors:
-
the number of factors in the model.
- dof:
-
the number of degrees of freedom for the model.
- method:
-
character string giving the method used.
- center:
-
vector of centers for the variables.
- scale:
-
vector of numbers by which the variables are scaled (the square root of
the diagonal of the input or computed covariance matrix).
- n.obs:
-
the number of observations on which the estimates are based.
This may not be present if covlist was used.
- scores:
-
matrix of factor scores with a "type" attribute stating which type of
scores were computed.
This will not be present if the scores argument to factanal was FALSE
or if there were no data from which to compute scores.
- terms:
-
the terms object of the formula.
This is not present if a formula was not used.
- call:
-
an image of the call to factanal.
- n.obs:
-
the number of observations on which the estimates are based.
This may not be present if covlist was used.
- scores:
-
- SEE ALSO:
-
factanal
,
princomp
.