# April 29-May 1 : Beginner’s statistics in R

### Description

This course has two objectives. First, it will introduce the participants to the basics of statistical experimental design, data analysis, and statistical inference. It will cover topics such as optimal allocation of resources, confidence intervals, hypothesis testing, and linear regression. Second, it will introduce the practical steps of statistical analysis using the open-source environment R. In addition to discussing basic data management tasks in R, such as reading in data and performing basic analysis, it also contains introduction to reproducible research using R markdown. The course will contain both lectures and practical hands-on exercises.

### Target audience

- Target audience are experimental scientists with no prior knowledge of statistics or R.

### References

*Grolemund & Wickham.*‘R for Data Science’, O’Reilly, 2017- Susan Holmes and Wolfgang Huber.
*Modern Statistics for Modern Biology*. Cambridge University Press, 2109. ONLINE version and PAPER version. - ‘Points of Significance’ in Nature Methods

### Speakers

- Meena Choi, Laurent Gatto, Olga Vitek

### Tentative schedule

#### Wednesday, April 29, 2020

- 12:30 p.m. Registration
- 1:30 p.m.
**Lecture: Introduction to statistics**, Olga Vitek - 3:00 p.m. Refreshments
- 3:30 p.m.
**Hands-on:****Introduction to R and RStudio**, Laurent Gatto - 5:00 p.m. Q&A and adjourn

#### Thursday, April 30, 2020

- 8:00 a.m. Q&A
- 9:00 a.m.
**Hands-on: Data exploration with base R**, Laurent Gatto - 10:30 a.m. Refreshments
- 11:00 a.m.
**Hands-on:****Data exploration with dplyr**, Laurent Gatto - 12:30 p.m. Lunch on your own
- 1:30 p.m.
**Lecture: Principles of experimental design and statistical inference**, Olga Vitek - 3:00 p.m. Refreshments
- 3:30 p.m.
**Hands-on:****Data visualization**, Laurent Gatto - 5:00 p.m. Q&A and adjourn

#### Friday, May 1, 2020

- 8:00 a.m. Q&A
- 9:00 a.m.
**Hands-on: Basic statistics – randomization, summaries, confidence intervals**, Meena Choi - 10:30 a.m. Refreshments
- 11:00 a.m.
**Lecture : Sample size, linear regression, and categorical data**, Olga Vitek - 12:30 p.m. Lunch on your own
- 1:30 p.m.
**Hands-on:****Statistical hypothesis testing, analysis of categorical data**, Meena Choi - 3:00 p.m. Refreshments
- 3:30 p.m.
**Hands-on: Linear models and correlations; R markdown**, Laurent Gatto - 5:00 p.m. Q&A and adjourn