Containerizing an existing renv project | Caching package installs | Basic Docker layer cache | Cache mounts | Bind-mounted host caches | System dependencies | Multi-stage builds

Basic functionality | Declare the location of the current script | Use project-relative paths | Situation report | What if the working directory is wrong? | Extra safety | Conflicts with other packages | Specify a unique identifier | Beyond here | Change project root | Under the hood: rprojroot

rmarkdown starts in a subdirectory | here always uses project-relative paths

Inferring package sources | Unknown sources | Custom R package repositories | Repository snapshots | Bioconductor | Initializing a project | Bioconductor releases | Bioconductor mirrors | Disabling Bioconductor | The package cellar | Explicit sources | ABI compatibility | Build-time dependencies

Why isn't my package being snapshotted into the lockfile? | Capturing all dependencies | Capturing explicit dependencies | How do I update the lockfile? | How should I handle development dependencies? | I'm returning to an older renv project. What do I do? | How can I check my packages for known vulnerabilities? | Why are package downloads failing?

Cache | Cache location | Multiple caches | Shared cache locations | Caveats | Building from source | Configure flags | Install flags | Vignettes | Downloads | Alternative downloaders | Proxies | Authentication | Azure DevOps | Git and Personal Access Tokens | Custom headers | Debugging

Publishing from the RStudio IDE | Publishing programatically | A word about packrat

Introduction | Usage | Managing profile-specific dependencies | Profile-specific ignore rules

GitHub actions | Using r-lib/actions/setup-renv | Using the GitHub Actions Cache with renv | Generating a lockfile in CI | Downloading packages in CI | GitLab CI

Libraries and repositories | Getting started | Collaboration | Installing packages | Updating packages | Infrastructure | Caveats | Uninstalling renv

Activating Python integration | Deactivating Python integration | Understanding Python integration | Virtual environments | Conda environments

Referring to ggplot2 functions | Using aes() and vars() in a package function | Best practices for common tasks | Using ggplot2 to visualize an object | Creating a new theme | Testing ggplot2 output | ggplot2 in Suggests | Read more

Colour and fill | Lines | Line type | Linewidth | Line end/join paramters | Polygons | Point | Shape | Text | Font family | Font face | Font size | Justification

ggproto | Creating a new stat | The simplest stat | Stat parameters | Picking defaults | Variable names and default aesthetics | Exercises | Creating a new geom | A simple geom | Collective geoms | Inheriting from an existing Geom | Geoms and Stats with multiple orientation | Omnidirectional stats | Omnidirecitonal geoms | Dealing with required aesthetics | Ambiguous layers | Creating your own theme | Overriding elements | Global elements | Complete vs incomplete | Creating a new faceting | Creating a layout specification | Mapping data into panels | Laying out the panels | Assembling the Facet class | Doing more with facets | Extending existing facet function | Creating new guides | Overriding scale extraction | Guide constructors | Custom drawings

Data | Mapping | Layers | Scales | Facets | Coordinates | Theme | Combining

Performance focused changes across versions | vr packageVersion('ggplot2') | v3.1.0

Development | Isolation | Library Paths | Testing | Submitting to CRAN

Extending the fastverse for the Session | Permanent Extensions | Custom fastverse Configurations for Projects | Creating Separate Package-Verses | Dependencies, Situational Reports and Updating | Other fastverse Options | Conclusion | Appendix: A note on OpenMP Multithreading

Sample data | Weighted tests

Sample data | Weighted tests

Sample data | Sample table summary | Further reading

Sample data | Changing weights | Overlap with wtdPropTable | Retrieve only counts used in penTable

Sample data | Changing weights

Sample data | Changing weights

Motivation: why tabyl? | How it works | Examples | One-way tabyl | Two-way tabyl | Three-way tabyl | Other features of tabyls | The adorn_* functions | The adorn functions are: | BYOt (Bring Your Own tabyl) | Questions? Comments?

Major functions | Cleaning | Clean data.frame names with clean_names() | Do those data.frames actually contain the same columns? | Check with compare_df_cols() | Exploring | tabyl() - a better version of table() | Explore records with duplicated values for specific combinations of variables with get_dupes() | Explore relationships between columns with get_one_to_one() | Minor functions | Manipulate vectors of names with make_clean_names() | Validate that a column has a single_value() per group | remove_empty() rows and columns | remove_constant() columns | Directionally-consistent rounding behavior with round_half_up() | Round decimals to precise fractions of a given denominator with round_to_fraction() | Fix dates stored as serial numbers with excel_numeric_to_date() | Convert a mix of date and datetime formats to date | Elevate column names stored in a data.frame row | Find the header row buried within a messy data.frame | Count factor levels in groups of high, medium, and low with top_levels()

Sample data | Sample table summary

Sample data | Random 80% of dataset | Random 30% of each group (# of cylinders) | Random sample, different % per stratum | Misc. things

Categorical | Pairs | Quads | Lines | Hex and Hept | Maps | Numerical | Non-divergent | Divergent | Orthogonal | Extras | Additional palettes

Navigating existing palettes | Categorical | Quads | Lines | Maps | Numerical | Non-divergent | Divergent | Accessing existing palettes | Drawing palettes (draw_palette)

Usage | Registering your Qualtrics credentials | A simple Qualtrics workflow | More detailed control