Module 12: Fundamental Statistical Tools
An on-line resource for practitioners
About this module
A good working knowledge of statistics can help you achieve better study designs, choose the correct analytical framework, and present your results in a meaningful way. In conservation, statistics is crucial for making decisions and predictions based on data. Module 12 aims to provide an understanding of fundamental statistical tools, and how to implement them in the widely used R software. All sessions include practical exercises that will help you become familiar with the R language.
Please make sure that R-Studio and R are both installed on your computer, keeping in mind your operating system:
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- RStudio: https://www.rstudio.com/produc
ts/rstudio/download/#download - R (for windows): https://cran.r-project.org/bin
/windows/base/ - R (for mac): https://cran.r-project.org/bin
/macosx/ - Download Csv files (ticks & uncia)
- RStudio: https://www.rstudio.com/produc
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Skills you will gain
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- How to organise your data
- Hypothesis testing
- Linear regression
- Interpretation of results
- How to avoid common mistakes
Lets get started
Module 12: R语言简介 Recording
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Session 1: Introduction to R and Statistics
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Session 2: R Studio and Hypothesis Testing
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Session 3: Fundamentals III
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Session 4: Regressions, Correlations and more
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Session 5: Regression Practical
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Meet the Resource Team
Anne Heloise Theo is a marine ecologist working on community ecology and behaviour of reef fish. She is currently a PhD student in the Centre for Ecological Sciences, Indian Institute of Science.
Guillaume Demare is a PhD candidate at the Museum für Naturkunde Berlin, Germany. His research currently focuses on the community ecology of West African amphibians.
培训老师 赵鹏博士，西交利物浦大学助理教授，统计之都成员。毕业于北京大学（理学学士，环境科学硕士）、德国拜罗伊特大学（地理生态学博士）。曾就职于中国气象科学研究院，曾在奥地利因斯布鲁克大学和德国马克斯-普朗克研究所从事博士后研究工作。对于 R 语言应用于科学研究有10年使用经验，开发有十几个R 扩展包，CRAN 上的累计下载量超过 15 万。
“We strive hard to answer very basic and applied ecological questions. A specific area of research we focus on is the development and application of statistical models for estimating animal abundance, occurrence, resource selection, and species interactions.
This course provided opportunity to learn basic concept in wildlife data analysis”
Muhammad, Pakisatan
“I am currently analysing data for my MSc project based on human-wildlife coexistence. I found the course particularly helpful as it provided me with a better understanding of statistical theory and of R software.
I believe this course will benefit a wide range of researchers and conservationists in their data analysis. The hosts were very knowledgeable!
Faye, UK
Congratulations for completing this on-line module!
If you have any further questions please do get in touch