Converts a frequency table, given either as a table object or a data frame in frequency form to a data frame representing individual observations in the table.
For glm objects, the print and summary methods give too much information if all one wants to see is a brief summary of model goodness of fit, and there is no easy way to display a compact comparison of model goodness of fit for a collection of models fit to the same data. All loglm models have equivalent glm forms, but the print and summary methods give quite different results.
For glm objects, the print and summary methods give too much information if all one wants to see is a brief summary of model goodness of fit, and there is no easy way to display a compact comparison of model goodness of fit for a collection of models fit to the same data. All loglm models have equivalent glm forms, but the print and summary methods give quite different results.
Formats a brief summary of model fit for a glm or loglm object, showing the likelihood ratio Chisq (df) value and or AIC. Useful for inclusion in a plot title or annotation.
Given two ordered factors in a square, n x n frequency table, Crossings creates an n-1 column matrix corresponding to different degrees of difficulty in crossing from one level to the next, as described by Goodman (1972).
These functions generate lists of terms to specify a loglinear model in a form compatible with loglin and also provide for conversion to an equivalent loglm specification or a shorthand character string representation.
The data function is used both to load data sets from packages, and give a display of the names and titles of data sets in one or more packages, however it does not return a result that can be easily used to get additional information about the nature of data sets in packages.