Statistical Computing in R
Introductory Workshop Part 2
In the second session, you will learn for-loops, conditional statements, and data visualization. From scatter plots to histograms, visualizing data is a crucial step in exploring and analyzing data. And, for-loops and conditional statements enable you to automate time consuming statistical tasks. You will work with a real data set to practice these crucial functions, and in the process, you will learn how to organize your statistical analysis (i.e., a script).
Instructor Bio: Neo Chung, is a 5th year graduate student in Quantitative and Computational Biology. Motivated by large-scale genomic studies, he develops statistical learning methods in R for application to a wide range of biomedical and genomic data. Previously, Neo has worked as an Assistant-in-Instruction for an introductory statistics course, and led workshops in statistical programming at the McGraw Center and J Street Library & Media Center.
Tuesday, April 8, 7:30-9:30 p.m., Friend 004
To learn more about the workshops and complete an important pre-workshop activity go to this webiste: http://www.princeton.edu/~nc/R/