dtkaplan / shinymarkLinks
Files for the RStudio::conf 2019 workshop: Introduction to Shiny and R Markdown
☆48Updated 6 years ago
Alternatives and similar repositories for shinymark
Users that are interested in shinymark are comparing it to the libraries listed below
Sorting:
- Collect, stow, and alphabetise library() calls in your R files.☆59Updated 5 years ago
- Fast and Easy Data Cleaning (in R)☆33Updated 8 months ago
- Color palettes from Color Lisa☆45Updated 5 years ago
- Intro to tidymodels. Productionalize w/ plumber, and deploy with RStudio Connect.☆22Updated 6 years ago
- Rstudio addin to tweet from Rstudio☆23Updated 7 years ago
- "I'm beginning to feel like a strap god." - Eminem☆65Updated 4 years ago
- R package of untidy datasets made for the purpose of teaching the tidyverse☆47Updated 2 years ago
- R package to read events from google calendar☆55Updated 3 years ago
- factory: Build Function Factories☆48Updated 5 years ago
- A guide to tidy evaluation☆56Updated 5 years ago
- R package for easy creation of GNU Makefiles to aid a reproducible work flow for data analysis projects.☆39Updated 5 years ago
- Fast and Easy Data Cleaning (in R)☆51Updated 5 years ago
- R Package to Create Details HTML Tag for Markdown and Package Documentation☆85Updated 9 months ago
- Materials from a talk at the Eugene R Users meetup☆37Updated 7 years ago
- Information for the Docker for Data Science Tutorial at useR!2019☆42Updated 5 years ago
- String distance calculation the tidy way.☆41Updated 6 years ago
- An R package for calculating and drawing variable trees☆76Updated 2 months ago
- Add progress bars to mapping functions☆62Updated 6 years ago
- yet another experimental way of processing a data.frame rowwisely☆67Updated 6 years ago
- ☆37Updated 6 years ago
- Create reusable dplyr::case_when() functions☆62Updated 7 years ago
- Companion Package for JavaScript for Shiny Users☆54Updated last year
- Additional Addins for RStudio☆70Updated 6 years ago
- A "work bench" for light weight project tracking in R☆42Updated 5 years ago
- high level overview of python for R users, data cleaning, preprocessing, modeling, model evaluation☆35Updated 6 years ago
- ☆22Updated 6 years ago
- ☆71Updated 4 years ago
- ggplot with the pipe☆58Updated 8 years ago
- The user manual for the drake R package☆55Updated 4 years ago
- Scrollytell with R☆69Updated 5 years ago