LISA Statistics Short Course: Introduction to R, Part II
LISA SHORT COURSES IN STATISTICS
LISA (Virginia Tech's Laboratory for Interdisciplinary Statistical Analysis) is providing a series of evening short courses to help graduate students use statistics in their research. The focus of these two-hour courses is on teaching practical statistical techniques for analyzing or collecting data. See www.lisa.stat.vt.edu/?q=short_courses for instructions on how to REGISTER and to learn more.
Fall 2012 Schedule:
September 11: Designing Experiments and Collecting Useful Data;
September 17 & 18: Using JMP to design experiments and analyze the results;
September 25: Designing Surveys;
October 2: Analyzing Surveys;
October 8: Introduction to R, Part I;
October 9: Introduction to R, Part II;
October 15 & 16: How to make plots to tell the story of your data;
*These courses will be held in the GLC, all other courses are in 3060 Torgersen Hall.
Tuesday, October 9;
Instructor: Qing Li;
Title: Introduction to R, Part II;
R is a free computing and graphical software/environment for statistical analysis. Part II 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 writing functions, data simulation, and the statistical bootstrap.
Note: experience using R or attending Part I of this series is suggested but not required for Part II.
R can be downloaded here: http://www.r-project.org/
RStudio can be downloaded here: http://rstudio.org/download/desktop
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