print provides a concise, human readable description
summary provides a more verbose human readable summary
The package [broom]() provides three key functions:
tidy: constructs a data frame that summarizes the model's statistical findings. This includes coefficients and p-values for each term in a regression, per-cluster information in clustering applications, or per-test information for multtest functions.
augment: add columns to the original data that was modeled. This includes predictions, residuals, and cluster assignments.
glance: construct a concise one-row summary of the model. This typically contains values such as R^2, adjusted R^2, and residual standard error that are computed once for the entire model.
Make sure to have a read of the conventions that David Robinson has outlined
tidy should be pretty straightforward, just a bit of a clean up on the existing methods in extract_mc_result...sorta. Currently it looks like:
augment - perhaps this could add columnar information about whether the original user is covered by a facility under the new model, and distance to the nearest new facility.
One thing that I need to do is record the length of time for the model to be fit.
printprovides a concise, human readable descriptionsummaryprovides a more verbose human readable summaryThe package [
broom]() provides three key functions:tidy: constructs a data frame that summarizes the model's statistical findings. This includes coefficients and p-values for each term in a regression, per-cluster information in clustering applications, or per-test information formulttestfunctions.augment: add columns to the original data that was modeled. This includes predictions, residuals, and cluster assignments.glance: construct a concise one-row summary of the model. This typically contains values such as R^2, adjusted R^2, and residual standard error that are computed once for the entire model.Make sure to have a read of the conventions that David Robinson has outlined
tidyshould be pretty straightforward, just a bit of a clean up on the existing methods inextract_mc_result...sorta. Currently it looks like:glanceshould just includeaugment- perhaps this could add columnar information about whether the original user is covered by a facility under the new model, and distance to the nearest new facility.One thing that I need to do is record the length of time for the model to be fit.