R Tutorial
Website
University of Colorado Denver
Department of Mathematical and Statistical Sciences
We
are adrift in a vast sea of
data and information. IBM estimates that data volume doubles every two
years
worldwide. While our
statistics courses focus on the methods needed to deal with this
wealth of information, there is
an urgent need to be able to use statistical software to carry
out the analyses on large data sets. Gone are the days when analysis
could be
carried out with a calculator or with an Excel worksheet.
This
website contains resources to teach you how to install R along with
R packages, create data and upload data into R, run basic analyses and
produce
simple plots. The focus is for a student in their first statistics
course.
Prior
to beginning the video tutorials, I suggest you print the tutorial
guide and download the four data sets and the example script, e.g., to
your
desktop. I highly recommend you work along with the tutorial in your
own R
session. Remember, you can always pause the video!
Practice
makes perfect.
Written
tutorial guide for learning the basics of R:
Data
sets
- Cancer and smoking data set in
CSV format, i.e., comma delimited (cancer_and_smoking.csv)
- Titanic data set in text
format with tab delimiters (titanic.txt)
- Brain size data set in text
format with tab delimiters (brain_size_data.txt)
- Cancer and smoking data set in
text format with tab delimiters, includes header line (cancer_and_smoking.txt)
Example
R script:
Helpful
R websites
- Main R website: http://cran.r-project.org
- R manuals website: http://cran.r-project.org/manuals.html
- R packages website: http://cran.r-project.org/web/packages
- List of reference books (some
online through Auraria library): http://math.ucdenver.edu/RTutorial/RBookResources.html
Tutorial
Videos: (Click on the video of
interest.)
Please
help us help you by providing feedback on the tutorial:
The
following is a very short anonymous survey. We’ll use results to update
and expand the tutorial: click
here for survey.
Have
suggestions or need help?
- Please feel free to send an
e-mail to Mark Shin (mark.shin@email.cudenver.edu)
or Stephanie Santorico (Stephanie.Santorico@ucdenver.edu)
if you have any questions or any suggestions on improving the tutorial.
This work was made possible by
a
Faculty Development Grant through the University of Colorado Denver,
Center for
Faculty Development.