R4All Course : Lancaster
1 – 5th Feb 2016
The course aims to help you learn aspects of using R for scientific investigation:
1) Data management, exploration, and visualisation
2) Common and not so common statistical methods implemented in R
3) Going from data to publication
The overarching aims are to boost you up the initially steep learning curve associated with R and to provide you with an accurate, repeatable, and efficient quantitative environment for your graduate studies and the rest of your academic career.
STATISTICS PREPARATION: We don’t expect you to know R. However, we do expect that you have a basic understanding of statistics, including for example, how to interpret regression, ANOVA and ANCOVA models. If you’ve forgotten what a t- and F- statistic are, and how to interpret regression coefficients, you should revise your undergraduate statistics course material or consult the Oracle. Please do not ignore this; a bit of revision before the course will go a long way!
What you need:
Something to scribble on and something to scribble with. Your laptop…. This is best. Discuss with
your local organiser if this is a problem.
Instructors are Dylan Childs and Natalie Cooper
Schedule (note that this can change according to participant input, with additional subjects being taught)
Monday Import, Explore, Graph
9.00 – 10.30am. Why R?
10.30 – 11.00 Comfort break
11.00 – 12.30 Import
12.30 – 13.30 Lunch break
13.30 – 15.30 Explore
15.30 – 16.00 Comfort break
16.00 – 17.30 Graph
Tuesday Basic statistics and linear models
9.00 – 10.30am. Basic statistics I
10.30 – 11.00 Comfort break
11.00 – 12.30 Basic statistics II
12.30 – 13.30 Lunch break
13.30 – 15.30 Linear Models I
15.30 – 16.00 Comfort break
16.00 – 17.30 Linear Models II
Wednesday Generalised linear models
9.00 – 10.30am. Generalised Linear Models
10.30 – 11.00 Comfort break
11.00 – 12.30 Generalised Linear Models
12.30 – 13.30 Lunch break
13.30 – 15.30 Generalised Linear Models
15.30 – 16.00 Comfort break
16.00 – 17.30 Generalised Linear Models
Thursday Mixed effects models and miscellany
9.00 – 10.30am. Mixed effects Models I
10.30 – 11.00 Comfort break
11.00 – 12.30 Mixed effects Models II
12.30 – 13.30 Lunch break
13.30 – 15.30 Mixed effects Models III
15.30 – 16.00 Comfort break
16.00 – 17.30 Review
Friday
TBD: Review and Bring Your Own Data Workshop OR SELECTION FROM Programming, Advanced Graphics and More