Data Modelling, Analysis And Visualization Using R

This training course is designed to help participants strengthen their skills using R for effective data modelling and analysis. The course will briefly introduce basic methods for data import, data management, simple graphics, and basic statistical analysis; and provides a firm foundation for statistical methods.

It covers practical issues in statistical computing which includes programming in R, reading data into R, accessing R packages, writing R functions, debugging, profiling R code, and organising and commenting R code.

The Course Covers:

• Overview of statistical analysis
• Introduction to R
• An overview of R
• Data management in R
• R data structures
• Data sets with mostly continuous variables
• Data sets with mostly categorical variables
• Mixture of categorical and continuous variables
• Longitudinal data
• Data modelling and visualisation techniques using R
• Plotting: scatterplots, bar plots, boxplots
• Lattice graphics Linear and multiple regression models and analysis of variance
• Multivariate and tree-based methods
• Functions
• GLM, and general non-linear models
• Multi-level models, repeated measures and time series
• Advanced programming topics
• Communication skills