PR #82 made a start on better organising the {pgkdown} website. This issue is to extend the articles (website-only) to include further detailed workflows.
This could include the following topics:
- Familiarising with the package: key parameter (
assumption_checks and confint_fast_estimate). Understanding spinners and long-wait indicators.
- Understanding odds ratio plots: what the visualisation shows, square sizes (N scaling); colour meanings (comparator, non-significant, significant); interpreting confidence intervals
- Customising odds ratio plots: extending ggplot2 plots; modifying titles, breaks, dot colours, font sizes, themes
- Working with odds ratio tables: using {gt} tables; exporting (HTML, PNG), modifying titles, displaying univariate alongside multivariable estimates, limiting to model data
- Controlling covariates: using formula arguments to control covariate order in model generation. Best practices for ordering
- Understanding
check_or(): What assumption checks are performed, when / why they matter; disabling checks with assumption_checks = FALSE; interpreting results
- Workflows: titanic dataset: end-to-end reproducible example; variable modelling > model fitting > assumption checks > generating tables and plots > customisation
PR #82 made a start on better organising the {pgkdown} website. This issue is to extend the articles (website-only) to include further detailed workflows.
This could include the following topics:
assumption_checksandconfint_fast_estimate). Understanding spinners and long-wait indicators.check_or(): What assumption checks are performed, when / why they matter; disabling checks withassumption_checks = FALSE; interpreting results