jonathanglevine / openfdashinyappsLinks
R Shiny apps that use openFDA data.
☆13Updated 9 years ago
Alternatives and similar repositories for openfdashinyapps
Users that are interested in openfdashinyapps are comparing it to the libraries listed below
Sorting:
- Survival analysis utility functions using functional programming principals☆11Updated 5 years ago
- A dashboard to explore, monitor and learn about OpenFDA data.☆10Updated 9 years ago
- Dockerfiles for R and Python sessions and jobs to be used with RStudio Server Pro, Launcher, and Kubernetes☆18Updated 4 years ago
- Add-on package for using the Gridster library with Shiny☆25Updated 9 years ago
- Divide and Recombine☆68Updated 8 years ago
- Adaptive Bayesian Clinical Trial☆17Updated 5 years ago
- Convenient access to the OpenFDA API☆65Updated 7 years ago
- ☆21Updated 6 years ago
- Using RStudio with Binder with a custom Dockerfile☆43Updated 7 years ago
- Ruigi is a pipeline specialist, much like his python counterpart, Luigi.☆42Updated 6 years ago
- ☆20Updated 9 years ago
- This repo is for building Docker containers for RStudio, PostgreSQL, Hadoop, Spark, etc.☆22Updated 4 years ago
- Demo of Shiny integration with third-party Javascript libraries☆57Updated 7 years ago
- Visualizing Association Rules and Frequent Itemsets with R☆56Updated 5 months ago
- Create interactive quizzes using Shiny and Rmarkdown☆16Updated last year
- R package to compute and visualize summary trees☆36Updated 10 years ago
- R port of the popular log4j logging module☆60Updated 4 years ago
- Reticulate wrapper on 'boto3' with convenient helper functions -- aka "boto fo(u)r R"☆30Updated last year
- exploratory data analysis using random forests☆68Updated 8 years ago
- Concise interactive data summaries in R☆60Updated 5 years ago
- Examples used for useR! 2016 knitr tutorial☆15Updated 9 years ago
- A web-based version of the codebook, which generates a concise summary of every variable in a dataset.☆14Updated 3 years ago
- ☆25Updated 9 years ago
- An assistive shiny application toolkit built for scaling and standardizing application development☆24Updated 2 years ago
- RStudio Connect API-driven Shiny application deployment example.☆23Updated 3 years ago
- 📦 Your One Stop to Targeted Learning in R with the tlverse☆33Updated 4 years ago
- Efficient query to Neo4J using cypher-shell and various server management resources☆19Updated 3 years ago
- Enables data scientists to compose pipelines of analysis which consist of data manipulation, exploratory analysis & reporting, as well as…☆28Updated 5 years ago
- 🧲 Multi-step adaptive estimation for reducing false positive selection in sparse regressions☆13Updated last year
- Some sample notebooks using R commands within Python through rpy2 module☆31Updated 8 years ago