I’ll be presenting a one day professional development workshop on R programming for software developers and data scientists, sponsored by the Greater Boston Chapter of the ACM.
I. Introduction – An introduction to R: R syntax and data structures; working interactively and in batch; alternative IDEs and GUIs; adding functionality through packages; common programming mistakes; getting unstuck – where to find answers to your questions.
II. Data Management – Importing, cleaning, and reformatting data: transforming and recoding variables; subsetting, merging, and aggregating data; control structures; user-written functions.
III. Graphics – Taking advantage of R’s powerful graphics: creating basic and advanced graphs; customizing and combining graphs; innovative methods for visualizing complex data.
IV. Statistical Analysis and Data Mining – Using R for description, prediction, and classification: descriptive statistics and multi-way tables; ANOVA variants; regression (e.g., linear, logistic, poisson), classification trees, cluster analysis, and other multivariate methods; dealing effectively with missing data; going further.
It should be quite a full day!
Details are available at http://www.gbcacm.org/pds/2014R/index.html .
I am very excited about this opportunity and hope to see you there.
Rob Kabacoff, Ph.D.
Author of R in Action and the Quick-R website (www.statmethods.net)