Further steps towards a graphical interface for making tables and estimating effects

At the last users' group meeting I presented a GI command for estimating effects using linear models. The command relied on a classification of variables according to their function in the linear model, and the user had to select, from a list, the particular regression command to be used (e.g. logistic). In this update I have concentrated on four types of response variable (binary, metric, failure, count) which in turn imply which regression command to use, so there is no longer a need to know which command is appropriate. The same classification is used in a companion GI command to present tables of means, medians, proportions, odds, or rates. Each of these GI commands is capable of displaying an equivalent command which does not use menus.