CRUK: Introduction to Statistical Analysis using R Commander

This course provides a refresher on the foundations of statistical analysis. Practicals are conducted using the R commander package, which provides an accessible interface to the R statistical language.

This event is part of a series of training courses organized in collaboration with Dr. Mark Dunning at CRUK Cambridge Institute.

Graduate students, Postdocs and Staff members from the University of Cambridge, Affiliated Institutions and other external Institutions or individuals

No previous experience required

Number of sessions: 1

After this course you should be able to:

• State the assumptions required for a one-sample and two-sample t-test and be able to interpret the results of such a test
• Know when to apply a paired or independent two-sample t-test
• To perform simple statistical calculations and create graphs in R Commander
• Understand the limitations of the tests taught within the course
• Know when more complex statistical methods are required

During this course you will learn about:

• Different types of data, distributions and structure within data
• Summary statistics for continuous and discrete data
• Formulating a null hypothesis
• Assumptions of one-sample and two-sample t-tests
• Interpreting the result of a statistical test
• Statistical tests of categorical variables
• The R Commander interface to R

Presentations and practicals

0.5

Once a year

• An Introduction to Solving Biological Problems with R
• An Introduction to R: Software For Statistical Analysis   [Provided by Graduate School of Life Sciences]