Method to produce a summary of a correspondence regression.
1 2 3 
object 
The outout of a call to 
parm 
The parameter for which to compute the contributions 
contrib 
The type of contributions to be computed: either from points to axes (absolute contributions) or from axes to points (squared correlations).
The specification can be 
nf 
The number of dimensions to be retained in the reduced space. Defaults to all dimenions (no reduction). 
add_ci 
Logical specifying whether to compute confidence intervals for the eigenvalues (and eigenvalues only). Defaults to 
cl 
The confidence level for the confidence intervals. Defaults to 
nq 
Logical specifying whether to use a normal quantile (i.e. apply 
... 
Further arguments passed to or from other methods. 
An object of class "summary.corregp", providing a summary of a correspondence regression, i.e. a list with components:

The 

The name of the data frame specified to the 

The name of the factor specified to the 

The chisquared value of the correspondence regression. 

The phisquared value of the correspondence regression, i.e. the chisquared value divided by 

The total number of observations. 

Depending on 

If 

If 
corregp
, print.summary.corregp
.
1 2 3 4 
Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.
Please suggest features or report bugs with the GitHub issue tracker.
All documentation is copyright its authors; we didn't write any of that.