Basic statistics in R, part II

Trainer Veronique Storme
BITS Courses TRAINING AT VIB

Goal

  • After this training you will be able to use R for basic statistical analyses.

Summary

This training builds further on the Basic statistics in R training, showing you how to do statistical analyses in R. Where the Basic statistics in R training is an introduction to the use of R and RStudio and stops at very basic analyses (t-tests and non-parametric equivalents), this training gives you a full overview of statistical analyses in R including regression, ANOVA... Emphasis will be placed on practical applications. To this end, theory will be complemented with hands-on exercises in R, a free software environment for statistical computing and graphics. Topics include distributions, plots, confidence intervals, hypothesis testing...

Prerequisites

This training is intended for people who already have a basic knowledge of R: data types, basic graphics... Participants who have never worked with R or RStudio should first follow the course Basic statistics in R. If you don't have sufficient statistical background you are strongly encouraged to attend the Basic statistics theory training.

BITS provides 15 laptops for their training sessions. Depending on the number of participants (max 20), it is possible that you have to share the laptop with one other participant but you can also choose to bring your own laptop for this training session.?

Schedule

See the TRAINING AT VIB website for a detailed schedule of this training.

Training material

Slides:

Chapter2: basics

Chapter4: exploring data with graphs

Chapter5: exploring assumptions

Chapter6: correlation

Chapter7: linear regression

Scripts:

Chapter8: regression extended

Data files:

cholesterol

goats

nitrogen

Zip files:

zip-file containing all data, demo scripts and slides of day 1 of the training

zip-file containing all data files, demo scripts and slides of day 2 of the training.

zip-file containing the solutions to the exercises of day1.

zip-file containing the solutions to the exercises of day2.

Links

R GUIs

  • RStudio: an open source Integrated Development Environment for R (works in Windows, Linux and Mac)

Tutorials

Scientific topics Statistical calculation
Target audience Life Science Researchers, PhD students, post-docs, beginner bioinformaticians