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== Welcome to Sustainability Methods! ==
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== Welcome to the ''Sustainability Methods Wiki!'' ==
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The aim of this wiki is to present and explain fundamental methods, terms and tools relevant to (sustainability) science and answer relevant underlying questions. The wiki is composed of several sub-wikis that can be accessed below.
  
=== Day 1 - Intro ===
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* [[Classes]] (currently only Statistics)<br>
# Do models and statistics matter?
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# Why does it pay to be literate in statistics and R?
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* [[Wiki Entries]] (Methods, Skills & Tools)<br>
# Getting concepts clear: Generalisation, Sample, and Bias
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## [[Misunderstood concepts in statistics|See also, misunderstood concepts]]
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* [[Normativity of Methods]]<br>
# History of statistics
 
  
=== Day 2 - Data formats based on R ===
 
# [[Data formats|Continuous vs. categorical, and subsets]]
 
# [[Data distribution|Normal distribution]]
 
# Poisson, binomial, Pareto
 
  
=== Day 3 - Simple tests ===
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For more information, please refer to the [[Sustainability_Methods:About|About]] page and the [[FAQ]].
# Parametric
 
# Non-Parametric
 
# [[Hypothesis building|Hypothesis testing]]
 
  
=== Day 4 - Correlation and regression ===
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If you would like to provide feedback or ask further questions, please contact us via the contact form in the [[FAQ]] section.
# What can be correlated?
 
# Are all correlations causal?
 
# Is the world linear?
 
# Transformation
 
  
=== Day 5 - Correlation and regression ===
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Following are links to some pages that you might be interested in:
# P values vs. sample size
 
# Residuals
 
# Reading correlation plots
 
  
=== Day 6 - Designing studies ===
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* [[Index : Statistics|Link to Statistics Topics on the Wiki]]
# How do I compare more than two groups groups?
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* [[Former Homepage|Link to the Former Homepage]]
# Designing experiments - degrees of freedom
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* [[Table of Contributors]]
# One way and two way
 
  
=== Day 7 - Designing studies ===
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Here are the 5 newest wiki entries that have been made on Sustainability Methods:
# Balanced vs. unbalanced - Welcome to the Jungle
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{{Special:NewestPages/-/5}}
# Block effects
 
# Interaction and reduction
 
 
 
=== Day 8 - Types of experiments ===
 
# Are all laboratory experiment really made in labs?
 
# Are all field experiment really made in fields?
 
# What are natural experiments?
 
 
 
=== Day 9 - Statistics from the Faculty ===
 
 
 
=== Day 10 - Statistics down the road ===
 
# Multivariate Statistics
 
# AIC
 
 
 
=== Day 11 - The big recap ===
 
# Distribution & simple test
 
# Correlation and regression
 
# [[Analysis of Variance]]
 
 
 
=== Day 12 - Models ===
 
# Are models wrong?
 
# Are models causal?
 
# Are models useful?
 
 
 
=== Day 13 - Ethics and norms of statistics ===
 
# What is informed consent?
 
# How does a board of ethics work?
 
# How long do you store data?
 
 
 
 
 
View [https://sustainabilitymethods.org/index.php/Special:AllPages All Pages].
 
 
 
== Admin Tools ==
 
* [https://www.mediawiki.org/wiki/Special:MyLanguage/Manual:Configuration_settings Configuration settings list]
 
* [https://www.mediawiki.org/wiki/Special:MyLanguage/Manual:FAQ MediaWiki FAQ]
 
* [https://lists.wikimedia.org/mailman/listinfo/mediawiki-announce MediaWiki release mailing list]
 
* [https://www.mediawiki.org/wiki/Special:MyLanguage/Localisation#Translation_resources Localise MediaWiki for your language]
 
* [https://www.mediawiki.org/wiki/Special:MyLanguage/Manual:Combating_spam Learn how to combat spam on your wiki]
 

Revision as of 11:34, 2 July 2020

Welcome to the Sustainability Methods Wiki!


The aim of this wiki is to present and explain fundamental methods, terms and tools relevant to (sustainability) science and answer relevant underlying questions. The wiki is composed of several sub-wikis that can be accessed below.


For more information, please refer to the About page and the FAQ.

If you would like to provide feedback or ask further questions, please contact us via the contact form in the FAQ section.

Following are links to some pages that you might be interested in:

Here are the 5 newest wiki entries that have been made on Sustainability Methods:

  1. Linear Regression in Python
  2. How to write unreadable und unmaintainable code
  3. Handling Categorical Data in Python
  4. Factor Analysis
  5. Decision Trees in Python