Final 2020 Online Statistics training workshops in November
SAGI-STH will be delivering the final round of statistical workshops for 2020 to agronomists and researchers in mid-November. These are practical, interactive workshops and aimed to foster widespread adoption of efficient and consistent statistical methods in agronomic research and practice to ultimately better inform growers decision-making. We will be delivering these workshops online in light of the covid-19 pandemic.
The training program uses a small-group, online delivery. This builds learning communities by allowing a close communication between participants and trainers. The overall program is structured and designed so participants can start from ground zero, they learn to handle their data via the R software, progress to being able to design and conduct reproducible analyses of standard agronomy trials with simple responses, and finally present a quality report document.
The four workshops are structured as follows:
Introduction to R (W0) – 1 day
- Covers the basics of R, using R packages, learning how to produce elegant graphics in R.
- You will learn some tips for preparing and managing your research data.
- You will gain confidence to continue learning and exploring R for yourself.
Introduction to Experimental Design (W1) – 1 day
- You will become familiar with the basics of experimental design
- Practice using R and some relevant packages for real world examples.
- You will learn how to estimate the number of samples you will require.
- A better understanding of why your experiment was done the way it was.
Statistical Analysis of Agronomic Experiments (W2) – 2 days
- Covers the basic topics in experimental analysis of agronomic experiments, including ANOVA, Linear Mixed Models, spatial modelling and analysis of factorial experiments, blocked designs, and split-plot agronomic experiments.
- You will learn to identify the correct model to use and perform analyses of data resulting from standard agronomic designs using R and ASReml-R and interpret the results.
Reporting Research with Rmarkdown (W3) – 1 day
- Introduces RMarkdown and report preparation with R, which brings together a report on the design, analysis and graphical presentation in a consistent, all-in-one and reproducible way. This will greatly improve the efficiency of your reporting.
Information pages about each workshop with registration links can be found below.
| Date | Workshop | Location |
|---|---|---|
| 9th November 2020 | Introduction to R (W0) |
Online delivery via Zoom |
| 11th November 2020 | Introduction to Experimental Design (W1) | |
| 12th & 16th November 2020 | Statistical Analysis of Agronomic Experiments (W2) | |
| 18th November 2020 | Reporting research with Rmarkdown (W3) |
To receive notifications when these courses are open for registration, sign up for our training mailing list at http://bit.do/biometrytraining. For any further queries, contact the Biometry Hub training team at biometrytraining@adelaide.edu.au.