A few years ago, I was the CTO and cofounder of a startup in the medical practice management software space. One of the problems we were trying to solve was how medical office visit schedules can ...

Combining multiple datasets, whether by stacking or joining, is commonly necessary as is changing the shape of data. The plyr and reshape2 packages offer good functions for accomplishing this in ...

Statisticians and data miners have been using R software and language for analytics within research and academia environments for some time. This open source community has contributed thousands of ...

The R programming language is an open source scripting language for predictive analytics and data visualization. Written primarily in C, C++, Fortran and R, it's used for data analysis in numerous ...

This story contains interviews with David Smith, chief community officer at Revolution Analytics; Casey Herron, data scientist at Revolution Analytics; Tess Nesbitt, director of analytics at DataSong; ...

Microsoft quietly made available this week a new family of R Server data-analytics products. Thanks to a tweet from Tero Alhonen, I found listings on MSDN for a family of new Microsoft R Server ...

Programmers should hedge their bets by learning R. Data scientists are the darlings of the financial services industry. Hedge funds, asset managers, investment banks and quant funds are all competing ...