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SUMMARY:LISA Statistics Short Course: Statistical Analysis in R
DESCRIPTION:
LISA SHORT COURSES IN STATISTICS\n
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.\n
\n
Summer 2013 Schedule:\n
Monday,
June 10: Structural Equation
Modeling (SEM) Using AMOS;\n
Monday, June 17:
Designing Experiments and Collecting Useful
Data*;\n
Monday, June 24 & Tuesday, June 25:
Basics of R;\n
Monday, July 1 & Tuesday, July
2: Statistical Analysis in R;\n
Monday, July 8
& Tuesday, July 9: Graphing with R;\n
Monday,
July 15: SAS Programming I;\n
Tuesday, July 16:
SAS Programming II;\n
Monday, July 22: Model
selection in R featuring the lasso;\n
*This
course will be held in Fralin Auditorium, all
other courses are in 3060 Torgersen Hall.\n
\n
Monday,
July 1 and Tuesday, July 2, 4:00-6:00
pm;\n
Instructor: Ning Wang;\n
Location: 3060
Torgersen Hall;\n
Title: Statistical Analysis
in R;\n
Course Information:\n
R is a free computing
and graphical software/environment for
statistical analysis. This short course describes
basic statistical analysis in R using two
data sets. The 1974 Motor Trend Car Road Tests
dataset which comprises fuel consumption
and 10 aspects of automobile design and performance
for 32 automobiles will be used to illustrate
the analyses. Analyses will also be
performed on the National Longitudinal Mortality
Survey which includes nearly a million records
with 38 measurements each. Analyses described
include t-tests, ANOVA, linear regression,
and nonparametric tests. The course format
includes a lecture portion covering statistical
concepts, and the computer laboratory
component covers usage of R to perform the analyses
described above. The attendee can write,
modify, and execute R codes for the statistical
analysis. \n
\n
This session is the second
in a three-course series, which assumes no
previous coding experience in R or any other
language. Experience using R or attending Part
I of this series is suggested but not required
for this course. The intended audience
for this course includes researchers who want
to gain basic exposure to statistical analysis
in R with the ultimate goal of incorporating
R into their research programs. A schedule
of available LISA short courses may be found
here: www.lisa.stat.vt.edu/?q=short_courses\n
\n
Resources:\n
www.nytimes.com/2009/01/07/technology/business-computing/07program.html?pagewanted=all&_r=0\n
\n
www.census.gov/did/www/nlms/\n
\n
R
can be downloaded here: www.r-project.org\n
RStudio
can be downloaded here: http://rstudio.org/download/desktop\n
\n
Follow
us on
Facebook (www.facebook.com/Statistical.collaboration)
or Twitter (www.twitter.com/LISA_VT)
to be the first to know about LISA events!\n\n
Price: Free\n
Contact: Tonya Pruitt\n
Phone: 540-231-8354\n
E-Mail:: lisa@vt.edu\n
for more info visit the web at:\n
http://www.lisa.stat.vt.edu/?q=short_courses\n
LOCATION:3060 Torgersen Hall
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