Difference between revisions of "An initial path towards statistical analysis"

From Sustainability Methods
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<div id="Only continuous variables">Only continuous variables</div>
 
<div id="Only continuous variables">Only continuous variables</div>
  
 +
Non dependent relations?
 +
[[Correlations|Correlations]]
  
Non dependent relations
+
Clear dependent relations
 
+
[[Causality|Regression models]]<br>
Correlations
+
[[Data_distribution#The_normal_distribution|Dependent variable normally distributed]]<br>
 
+
Linear Regression  
Clear dependent relations
 
 
 
Regression models
 
 
 
  Dependent variable normally distributed
 
 
 
  Linear Regression  
 
 
 
Dependent variable not normally distributed
 
 
 
  GLM
 
 
 
Dependent variable is count data
 
 
 
  Poisson GLM
 
 
 
  Dependent variable is 0/1 or proportions
 
 
 
  Binomial GLM
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
  
 +
[[Data_distribution#Non-normal_distributions|Dependent variable not normally distributed]]
  
 +
[[Generalised linear model|Generalised linear model]]
  
 +
[[Poisson GLM|Dependent variable is count data]]
  
 +
[[Binomial GLM|Dependent variable is 0/1 or proportions]]
  
  

Revision as of 21:51, 11 January 2021


Start here with your data

Do you have several continuous variables without clear dependencies?
Yes-> Multivariate statistics
No-> Univariate statistics


Univariate statistics

Categorical and continuous data (?)
Only continuous variables (?)
Only categorical variables (?)

Categorical and continuous variables

[[At least one continuous and one categorical variable|

     More than 2 groups

Analysis of Variance
Dependent variable normally distributed
INSERT TYPE II
INSERT RANDOM FACTOR
INSERT LMM

Dependent variable not normally distributed

Type III Anova

Dependent variable is count data

Dependent variable is 0/1 or proportions

Random factors


Only categorical variables

Chi-Square test

Only continuous variables

Non dependent relations? Correlations

Clear dependent relations Regression models
Dependent variable normally distributed
Linear Regression

Dependent variable not normally distributed

Generalised linear model

Dependent variable is count data

Dependent variable is 0/1 or proportions



Multivariate statistics