ellisvalentiner / lubridateExtras
Convenience Functions for Manipulating Datetimes
☆19Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for lubridateExtras
- Show Demotivational Messages on Errors☆10Updated 5 years ago
- Easy CSS Grid Layout for R Markdown and Shiny☆31Updated 5 years ago
- R package for creating templated reporting workflows in Word and PowerPoint☆24Updated last month
- RMarkdown template, ggplot2 theme, and table function for OMNI Institute☆21Updated last week
- Rapidly Scaffold API Client Packages☆48Updated last month
- Ambiorix examples☆30Updated last month
- 👉 A R package to work with SharePoint files using {Microsoft365R} methods☆25Updated last month
- 🕸️ 🧪 hrbrmstr's WebR Experiments☆41Updated last year
- R package with functions to get information on left join between 2 data frames☆15Updated 3 years ago
- Styling for inset ggplot2 map legends☆41Updated 3 years ago
- Add geolocation inside your shiny app☆43Updated 4 years ago
- That Feeling of Workflowing☆40Updated 4 years ago
- Flexibly format dates and times to a given locale☆18Updated 2 weeks ago
- ☆29Updated 2 years ago
- Print the Output of Intermediate Steps of a Call☆23Updated 3 years ago
- Simplify comparative bar charts☆30Updated 6 years ago
- Live shinydashboard theme designer☆23Updated 2 years ago
- Utilities for testing R 📦s that use httr2☆28Updated 4 months ago
- Small Multiples for Leaflet Webmaps☆36Updated 2 years ago
- ☆33Updated last year
- Take screenshots in Shiny apps☆32Updated 3 weeks ago
- Now I am become death, destroyer of groups....☆40Updated 4 years ago
- Excel's PivotTables in R☆30Updated 10 months ago
- Complex plots made easier☆22Updated 3 years ago
- A Simpler Highcharts wrapper for use in R and R Shiny.☆16Updated last month
- An example app for illustrating golem features☆25Updated 5 years ago
- 🐹🐹🐹 Creates a Friendly User Interface for Emails Sending in Shiny and RMarkdown☆22Updated 3 years ago
- A toolbox to automatically generate @importFrom roxygen tags from R files.☆12Updated last week
- Fast and Easy Data Cleaning (in R)☆31Updated this week