Description Usage Arguments Value See Also Examples
Method to produce a summary of a correspondence regression.
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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 dimensions (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 chi-squared value of the correspondence regression. |
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The phi-squared value of the correspondence regression, i.e. the chi-squared value divided by |
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The total number of observations. |
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Depending on |
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If |
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If |
corregp
, print.summary.corregp
, anova.corregp
.
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