Details
Description
The course will be structured around computer practical’s and will cover the following issues :
- Introduction to programming
- basic concepts of algorithm building
- R language
- focus on the IDE Rstudio
- functional programming
- Descriptive statistics with R
- variance, mean, median and distribution descriptors
- Central Tendency
- Hypotheses testing
- concepts of p-value and confidence intervals
- correction for multiple testing
- one sample
- two samples
- Correlation
- parametric
- non-parametric tests
- Regression models
- linear models, least squares method
- generalized linear model (GLMs)
- non linear models
- multiple regression
- Analysis of variance, ANOVA
- one-way
- two-ways
- Count data
- contingency tables