Trainer | Veronique Storme |
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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:**

**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.

#### Links

R GUIs

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

Tutorials

- List of R manuals by the R Development Core Team
- Searchable R Help Mailing list archive
- R - Basics and statistics: tutorial on installation, data sets, graphics, variables, matrices, standard statistics, multivariate statistics
- R for basic statistics: tutorial on basic stats (mean, median...), T-test, U-test, Chi-Squared, Goodness of Fit test
- Quick-R: tutorial on the R interface, data input, data management, basic statistics, advanced statistics, basic graphics, advanced graphics
- List of R tutorials starting from basics to advanced topics
- R and Bioconductor manual: R basics, Next Gen Sequencing analysis with R and Bioconductor, programming in R, Bioconductor, clustering and data mining in R, installation
- Tutorial on Machine Learning and Statistical Learning in R from CRAN
- R programming for programmers that are coming from other languages: assignment, variable names, vectors, sequences, types, boolean operators, lists, matrices, missing values, comments, functions, lexical scoping
- R seek: R help search tool
- Blog on learning R
- "R" you ready? another blog that collects useful R one- or few-liners
- R bloggers (RSS)
- R-statistics blog
- R Graph gallery to enhance data visualization in R

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