Universita degli Studi di Padova, Dipartimento di Agronomia Animali Alimenti Risorse Naturali e Ambiente
The overall course goal is to give the participants knowledge on statistical methods and data analysis, with particular emphasis on the application techniques using R software.
Professors:
- Alessio Cecchinato, 📧 alessio.cecchinato@unipd.it
- Sara Pegolo, 📧 sara.pegolo@unipd.it
- Hugo Toledo, 📧 h.toledo.a@gmail.com
Class meets:
- MISSING.
- please bring your own laptop with R software already installed.
- please verify that you have one internet connection ('eduroam' or others) working properly.
- please download the slides from this webpage
You can install R directly from https://www.r-project.org/, also you can install RStudio (https://www.rstudio.com/) to have a nice interface. If you are a complete beginner with R, I recommend reading this brief introduction. For the course you need the following packages:
install.packages("car")
install.packages("multcomp")
install.packages("lsmeans")
install.packages("lme4") # For mixed models course
If you want to use the scripts, please select, copy and paste the script in R. Otherwise you can download the PDF with the solutions.
- Descriptive Statistics and Normality
- One-Way ANOVA
- Complete Randomized Block Design
- Two-Way ANOVA
- Contrasts
- Completely Randomized Design with a Covariate
To save a file to your pc, click it to view the contents within the GitHub, then in the top right, right click the Raw button, then save as... 💾