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January 27, 2016

Envision R Course: 1-5 February 2016

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