Package: gtstats 1.0.0

From raw clinical codes to a report-ready table | 1. Prepare readable data | 2. Start with the data, not a test | 3. Assess selected continuous variables | 4. Build Table 1 | 5. Ask a focused inferential question | What this workflow deliberately avoids

Citation | BibTeX | Reproducibility

Function options at a glance | Guided interface | gtstats_app() | Choose the right table function | 1. Understand the data | describe_data() | assess_distribution() | assess_variance() | 2. Describe and compare | summary_table() | Table-building helpers | add_ci() | add_summary() (incremental builder) | Specialist and structural helpers | compare_groups() | Exact test = "auto" algorithm | effect_size() | correlation() | 3. Epidemiology | epi_table() | proportion_stats() | rate_stats() | crosstabs() | 4. Plots, inspection, and output | plot_compare() | plot_correlation() | Audit functions | customise_table() | to_gt() | to_flextable() | save_output() | The shortest useful workflow

Quantify the magnitude separately | Default selection policy | Ordinal values: make the meaning explicit | Proportions are estimates, not automatically tests | Continuous outcomes | Summary-table p-values | Correlation | Rates | Inspect what was checked

The policy in one minute | Key terms | Start by describing missingness | Descriptive tables: percentage denominators | Proportions and confidence intervals | Rates use complete event-time records | Cross-tabs, comparisons, and correlations | Distribution assessment | Reporting checklist | What gtstats does not do automatically

The workflow | Install and load | 1. Understand a dataset | Built-in teaching datasets | Prefer a guided interface? | 2. Assess distribution for descriptive reporting | How Auto chooses an inferential test | 3. Create a Table 1 | 4. Compare one variable | 5. Customise and export

Introduction | A minimal table | Adding an overall column | Summary-table options at a glance | How global choices and variable exceptions work | Which layout option controls which columns? | Compact binary variables | Precision and labels | Choosing percentage denominators and missing rows | Showing the denominator in every categorical cell | Mean with a confidence interval | Adding proportion rows | Adding a total row | Adding p-values | Specifying tests manually | Paired tests | Adding rate rows | Adding custom rows | The full workflow | Styling the output | Complete customisation guide | A journal-style recipe | Relabelling without changing the analysis | A clean table without explanatory notes | Exporting to Word | Summary

Built-in teaching datasets | birthwt: real clinical teaching data | trial_data: independent groups and rates | paired_data: repeated measurements | outbreak_data: line-list outbreak analysis | surveillance_data: aggregate surveillance rates | Provenance and reuse | Transparency note

gtstats App Manual | Launch the app | Close the app safely | App dependencies | Recommended app workflow | Data tab | Data Prep tab | Uploading files | Preview and data dictionary | Reusable data code | Understand tab | Describe data | Assess distribution | Show spread by group | Code panel | Summary table tab | Choose a group | Select variables | Optional ingredients | Summary-statistic overrides | Presentation controls | Build the table layer by layer | Add p-values | Customise appearance | Preview, export, and code | Epi table tab | Customise table tab | Compare groups tab | Test control | Result and Audit panels | Correlation tab | Comparison plots | Crosstabs tab | History tab | Help tab | Saving outputs | Troubleshooting | The app does not open | Excel upload gives an error | A table or comparison is blank | A variable seems to have the wrong type | I see (blank) in a result | Chrome or a browser crashes | Best practice