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# Applications of R

R applications span the universe from theoretical computational statistics and the hard sciences such as astronomy, chemistry and genomics to practical applications in business, drug development, finance, health care, marketing, medicine and much more. Because R has nearly 5,000 packages (libraries of functions) many of which are dedicated to specific applications you don’t have to be an R genius to begin developing your own applications. All it takes to get started is some modest experience with R, some examples to emulate and the right libraries of R functions.

Have a look at some of the R applications that have been featured in Revolutions Blog

Build web applications with RStudio’s Shiny package and R.

Delve into the code of some award winning applications in Marketing and Sentiment Analysis

Search R’s packages by application area to find the tools and functions you need.

- Bayesian Inference
- Clinical Trials
- Cluster Analysis
- Computational Physics
- Differential Equations
- Econometrics
- Environmental Studies
- Experimental Design
- Finance
- Genetics
- Graphical Models
- Graphics and Visualizations
- High Performance Computing
- High Throughput Genomics
- Machine Learning
- Medical Imaging
- Meta Analysis
- Multivariate Statistics
- Natural Language Processing
- Official Statistics
- Optimization