From the webpage:
The No.1 Online Reference for all things related to R language and its applications in statistical computing.
This website is a R programming reference for beginners and advanced statisticians. Here, you will find data mining and machine learning techniques explained briefly with workable R code, which when used effectively can massively boost the predicting power of your analyses.
Who is this Website For?
- If you are a college student working on a project using R and you want to learn techniques to solve your problem
- If you are a statistician, but you don’t have prior programming experience, our plugin snippets of R Code will help you achieve several of your analysis outcomes in R
- If you are a programmer coming from other platform (such as python, SAS, SPSS) and you are looking to get your way around in R
- You have a software / DB background, and would like to expand your skills into data science and advanced analytics.
- You are a beginner with no stats background whatsoever, but have a critical analytical mind and have a keen interest in analytical problem solving.
Whatever your motivations, RStatistics.Net can help you achieve your goal.
Don’t Know Where To Get Started?
If you are completely new to R, the Getting-Started-Guide will walk you through the essentials of the language. The guide is structured in such a manner that the learning happens inquisitively in a direct and straightforward way. Some repetition may be needed for beginners before you get a overall feel and handle over the language. Reading and practicing the code snippets step-by-step will get you familiar and equip you to acquire higher level R modelling and algorithm-building skills.
What Will I Find Here ?
In the coming days, you will see top notch articles on techniques to learn and perform statistical analyses and problem solving in areas including but not bound to:
- Essential Stats
- Regression analysis
- Time Series Forecasting
- Cluster Analysis
- Machine Learning Algorithms
- Text Mining
- Social Media Analytics
- Classification Techniques
- Cool R Tips
Given the number of excellent resources on R that are online, any listing is likely to miss your favorite, I rather doubt the claim:
The No.1 Online Reference for all things related to R language and its applications in statistical computing.
for a beta site on R. 😉
Still, there is always room for one more reference site on R.
The practical exercises are “coming soon.”
This may already exist but a weekly tweet of an R problem with a data set could be handy.