Analysis of experimental data using R workshop - Online

Join this hands-on workshop delivering practical application of RStudio, facilitated by Dr Hamid Shobeiri Nejad, Lecturer (Statistics).

This will be a practical session with a data set supplied to develop your skills using a realist case study.

The workshop will cover the following topics:

• Data
• Data Generation
• partitioning the data
• Creating new Random dataset from existing one
• ANOVA
• ANOVA assumptions
• One-way ANOVA
• Check Normality
• Check Variance Homogeneity
• Post-hoc Comparison Methods Factorial ANOVA 2-way and 3-way
• Blocking
• ANCOVA
• Mixed Model
• Regression
• AMMI Mode
• Running and plotting in R.

It is helpful, but not mandatory if you have previously completed the Introduction to Programming: R for Reproducible Scientific Analysis | QCIF training prior to attending this session.

Please bring along your refreshments, charger, and laptop with RStudio pre-installed to practice the above techniques.

Register here.