Basic statistics in R

statistics
live training

Basic statistics in R

Target Audience:
VIB PhD student
VIB postdoc
VIB staff scientist
VIB group leader or expert
VIB technical support
Location:

Ghent

General context

This training gives an introduction to the use of the statistical software language R. R is a language for data analysis and graphics. This introduction to R is aimed at beginners. The training covers data handling, graphics, and basic statistical techniques. 
R is for free and for more information you can visit the CRAN web site.
This training is an introduction to the use of R and RStudio and stops at very basic analyses (t-tests and non-parametric equivalents). A full overview of statistical analyses in R including regression, ANOVA will be given in the follow-up training Basic statistics in R, part II.

Learning outcomes
  • Get an idea of what R and Rstudio is
  • Use R to handle data: creating, reading, reformatting and writing data
  • Use R to create graphics
  • Use basic statistical techniques in R : normality tests, t-tests, wilcoxon tests, chi square tests, correlations, survival analysis...
  • Write and use R scripts
Event intended for

This training is recommended for people with no experience in R who are planning to follow a training that requires some R background, like the mass spectrometry training, the single cell RNA-Seq and the bulk RNA-Seq training....

Required skills

The training is intended for people who have no experience with R. However, understanding of basic statistical concepts is required, such as data types, normal distribution, descriptive statistics, tests for comparing groups... If you don't have sufficient statistical background you are strongly encouraged to attend the Basic statistics theory training. 

Course materials

Trainers

Janick Mathys
VIB Training and Conferences, BE

Janick tries to help VIB scientists analyze their data by offering bioinformatics training and support. Next to organizing trainings, creating e-learning courses and teaching statistics, R, Python, Linux, HPC, bulk and single cell RNA-Seq analysis, she consults scientists and develops pipelines for omics analyses. Before joining VIB, she worked as a post-doc at KULeuven, doing research on transcriptomics and transcription regulation. She coordinated the Master of Bioinformatics program of KULeuven and taught the course on Biological Databases. 

Contact Janick Mathys :

Program

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Introduction

Working with R and RStudio

Data structures

-

Data structures

Reading data from files

-

Writing scripts

Descriptive statistics

-

Data reformatting

Graphics

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Graphics

Basic statistical tests

-

Full analysis of data sets

Practical info

Location & Venue
Ghent - Bio-Accelerator Meeting Center

Technologiepark 21
9052 Zwijnaarde
Belgium

Public transport
Ghent - Bio-Accelerator Meeting Center
Public transport

From Ghent Sint-Pieters station, you can take a bus to Technologiepark. Please check Routeplanner De Lijn for schedules.

 

Bike
Ghent - Bio-Accelerator Meeting Center
Bike

Looking for a custom cycling route? Try the online cycling route planner to easily and quickly identify the fastest, safest and/or most scenic route to any destination in Ghent.
Cycling route planner
 

Shared bicycles:

Several providers are active in the area.
Take a look at their platforms:
- Indigo Weel Pro app
- Bluebike
- DOTT
- BOLT eBikes
- Donkey Republic

There are also some public bicycle pumps at the park.

Route description
Ghent - Bio-Accelerator Meeting Center
Parking

Route description

There is only one entrance to Technologiepark. At the entrance, please take a ticket - Parking is only allowed in regular parking spots (for instance in front of the building) and in the new parking tower. Parking alongside the roads or in other places where there is no regular parking is prohibited.

Venue contact
Ghent - Bio-Accelerator Meeting Center
Location contact

+32 9 328 19 02

info@bio-accelerator.com