Introduction | Overview of table functions | Main table functions | visTable() — format any data.frame | visOmopTable() — specialized for | Using .options | Formatting functions (the format*() family) | formatMinCellCount() — suppressed estimates | formatEstimateValue() — numeric formatting | formatEstimateName() — combine and order estimates | formatHeader() — multi-level headers | formatTable() — render the final table | Notes & recommendations

Quarto document settings | Characterisation results | Incidence results | Additional results | Captions and footers | In Markdown | In an R code chunk | Report example

Set up | Mock data | Shiny App: User Inteface | Example UI Code | Shiny App: Server | 1) Baseline characteristics | 2) Large Scale characteristics | 3) Incidence | Example Server Code | Run App | Other Resources | Styling the Shiny app | Creating Shiny apps with OmopViewer

Plotting with a | Plotting principles for objects | Scatter plot | Bar plot | Box plot | Alluvial plot | Plotting style | Plotting with a | Custom plotting | Combine with ggplot2 | Combine with plotly

Introduction | Branding styles using .yml | .yml structure | Style hierarchy | Applying styles to tables and plots | Use of _brand.yml | Alternative style customisation | Tables | Plots | Using non-registered font families in ggplot2 | 1. Install the font in the system | 2. Register the font | 3. Create plots with styles that use the font | Important notes | Final remarks

Introduction | Basic usage | Timing options | Measurement cohorts | Stratifications | Other arguments

Introduction | Defining a codelist of measurements | Measurement diagnostics | Visualise results | Stratifications | Estimates | Histogram estimates | Other arguments

Introduction | Create diagnostics results | Tables | Plots | Measurement summary | Numeric-value summary | boxplot | densityplot | barplot | Concept-value summary | Visualisation with other packages | Shiny Apps with OmopViewer | Customisation of plots and tables with visOmopResults | Application of MeasurementDiagnostics in PhenotypeR