Basic statistics in R part II - online
General context
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 (ANOVA, 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...
After this training you will be able to use R for basic statistical analyses.
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.
Trainers
Véronique Storme
Biostatistician at VIB-UGent Center for Plant Systems Biology
Program
Exploring data with graphs
Exploring assumptions
Correlations
Regression Comparing two means: t-tests and nonparametric tests
Comparing several means: one-way ANOVA
Comparing several means: two-way ANOVA
Analysis of categorical data: chi-square test, fisher exact test, odds ratio
Overview analysis methods