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 toolsand 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:

Skills you will gain

    • How to organise your data
    • Hypothesis testing
    • Linear regression
    • Interpretation of results
    • How to avoid common mistakes

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Module 12: R语言简介 Recording

Module 12: R语言简介 Recording

课程描述 R语言,一门强大的数据分析语言,一个极其人性化的编程环境,一种充满惊喜的工作方式。本课程面向零基础的学员,从最基本的安装开始,一步一步手把手带你进入 R 语言的精彩世界。 课程目标 通过学习本课程,学员将 在计算机上搭建 R 语言工作环境, 了解 R 语言的用途和扩展性, 熟悉 R 语言的基本用法, 初步掌握常见图形的绘制方法, 培训内容 了解用途 知道R语言在科研中的用途和扩展性, 了解常用扩展包, 知道如何寻求帮助。 数据读写 熟练掌握将常见格式的数据导入R语言环境的方法, 知道如何将特殊格式的数据导入R语言环境, 熟练掌握将计算结果的数据保存为常见格式。 图形绘制 熟练掌握R基础包绘制常见图形(散点图、直方图、箱式图、折线图等)的方法,有能力根据研究意图任意订制图形的风格(大小、颜色、点的形状、线的类型)为图形任意添加各种元素(点、线、文字、多边形、图例、坐标轴), 学习使用最流行的ggplot2包来绘制美观的常见图形, 参考书目 赵鹏,李怡。学 ...
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Session 1: Introduction to R and Statistics

Session 1: Introduction to R and Statistics

All statistical endeavours start with data. In this session, you will learn how to import your data into the R environment. This will be the perfect opportunity for you to ...
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Session 2: R Studio and Hypothesis Testing

Session 2: R Studio and Hypothesis Testing

In this session, we explore in more details the fundamentals of statistical theory. Using built-in datasets in R, you will learn how to identify methods that are most appropriate depending ...
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Session 3: Fundamentals III

Session 3: Fundamentals III

Using what we learned in the previous two sessions, we will work through all essential steps involved in data analysis, with a focus on linear regression. This includes the formulation ...
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Session 4: Regressions, Correlations and more

Session 4: Regressions, Correlations and more

This session will start with presentation of results from the last analysis (see Session 3). The rest of the session will be dedicated to identifying and avoiding common mistakes in ...
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Session 5: Regression Practical

Session 5: Regression Practical

The final session takes the participants through a Regression Practical: Session 5.1: 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