November 1, 2010
Professional and personal
Upper level novice. I have extensive programming experience, but have only used R on some simple personal and professional projects (primary experience was with Java, C++, and perl).
Time series, econometrics, graphics, rmetrics, monte carlo analysis
ESS, R workflows, coding best practices, Sweave, normality tests, regexes
A deeper understanding of R, and a better grasp of what packages are out there to accomplish different tasks. I'd also be interested in tips and tricks on data visualization, data cleaning and best practices for statistical projects.
Portfolio Manager for a deep value investment portfolio specializing in special situations (M&A, liquidations, spinoffs). Primarily use R to graph small datasets and do some simple statistical test (normality, serial correlation, etc.)