LISA Statistics Short Course: Introduction to R, Part I
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.
Summer 2012 Schedule:
June 11 & 18: Introduction to JMP;
June 21: Explore JMP Capabilities in Design of Experiments;
June 25: Structural Equation Modeling (SEM);
July 16: Designing Surveys and Interpreting the Results*;
July 17: Introduction to R, Part I;
July 19: Introduction to R, Part II;
July 23 & 26: Fixed Effects, Random Effects, and Correlated Data;
*This course will be held in Fralin Auditorium, all other courses are in 3060 Torgersen Hall.
Tuesday, July 17;
Instructor: Andy Hoegh;
Title: Introduction to R, Part I;
R is a free computing and graphical software/environment for statistical analysis. Part I of this short course consists of 2 sections:
- Section 1 introduces R programming basics, including data objects, loops, and importing/exporting datasets. These concepts will be reinforced using examples of data manipulation and data cleaning.
- Section 2 discusses the R graphics environment and the creation of basic statistical plots as well as paper/presentation quality graphics.
R can be downloaded here: http://www.r-project.org/
RStudio can be downloaded here: http://rstudio.org/download/desktop
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