About a month back I completed Computing for Data Analysis from Coursera.org and blogged about my learning experience. I have continued to play with R and it's different packages. I am doing a Data Analytics and Visualization course as part of my Master's program which is keeping me motivated to learn R further.
Over most of last month, I've been looking for R code I could learn from. Here are some projects/examples in R with code:
Making sense of the data from the Lending Club
http://www.dataspora.com/2011/10/mining-lending-clubs-goldmine-of-loan-data-part-i-of-ii-visualizations-by-state/
Analysis of a dataset from Prosper.com
http://www.dataspora.com/2011/12/visualization-of-prosper-com%E2%80%99s-loan-data-part-i-compare-and-contrast-with-lending-club/
Visualizing connections
http://flowingdata.com/2011/05/11/how-to-map-connections-with-great-circles/
Predictive Analytics
Preparing Data
http://horicky.blogspot.com/2012/05/predictive-analytics-overview-and-data.html
Sampling to ensure the training data is representative and fit into the machine processing capacity
http://horicky.blogspot.com/2012/05/predictive-analytics-data-preparation.html
Machine learning techniques to build a predictive model
http://horicky.blogspot.com/2012/05/predictive-analytics-generalized-linear.html
More machine learning techniques
http://horicky.blogspot.com/2012/06/predictive-analytics-neuralnet-bayesian.html
http://horicky.blogspot.com/2012/06/predictive-analytics-decision-tree-and.html
Data Analysis Examples
http://www.ats.ucla.edu/stat/dae/
Please feel free to add more examples/projects
