LISA (Laboratory for Interdisciplinary Statistical Analysis) provided a series of evening short courses to help graduate students use statistics in their research. The focus of these two-hour courses was on teaching practical statistical techniques for analyzing or collecting data.
February 16, 2012
Statistical Analysis in R, Part II
Instructors: Andy Hoegh and Caleb King
R is a free computing and graphical software/environment for statistical analysis.
Part 2 of this short course consists of 2 sections:
- Section 3 introduces statistical analysis in R, including t-tests, ANOVA, linear regression, nonparametric tests, and logistic regression.
- Section 4 contains advanced R programming concepts such as functions, data simulation, the statistical bootstrap, and scraping data from the web using FTP.
Note: experience using R or attending Part I of this series is suggested but not required for Part II.
R can be downloaded here: r-project.org/
RStudio can be downloaded here: rstudio.org/download/desktop
Please visit this course's webpage for course files (lisa.stat.vt.edu/?q=node/3377).