Temporal trends occur in most ecological datasets. Learn scripts to produce a sequence of dates, and how to create a simple scatter plot showing fish length by date caught. In this session the last R script is revisited to show how statistical data can be exported as a csv file out of R. The script taught will be useful for applications requiring analysis of temporal relationships, and for practicing scripts taught over the previous six clips.
* * * An Introduction to Data Analysis in R * * *
An interactive and informative introduction to R programming for science.
R is a free software environment for data management, statistical computing and graphics. In this six part series, watch and follow along as you are introduced to the concepts of data analyses from developing your research question, installing R to creating some simple scripts. Based on extensive experience managing experimental and field data, describing data, running temporal and spatial statistical analyses and mathematical models the experts at Oceania Scientific Services offer their knowledge. These clips are designed to provide a functional introduction for learning R by developing an understanding and appreciation of the thinking that occurs outside of R. By the end of this series you will have a taste of the steps between research, data, visualization and analysis.
Dr Amanda Neilen is the principal scientist at Oceania Scientific Services. She lectures in applied mathematics and R at a university in South-East Queensland, Australia, and runs R workshops for businesses and researchers alike. With over 10 year experience with the R scripting language and a passion for answers, she was very excited at the opportunity to be involved with the development and delivery of the online series.