Difference between revisions of "An initial path towards statistical analysis"
From Sustainability Methods
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[[#Categorical and continuous data|Categorical and continuous data]] [[Data_formats#Data_formats_in_statistics| (?)]]<br> | [[#Categorical and continuous data|Categorical and continuous data]] [[Data_formats#Data_formats_in_statistics| (?)]]<br> | ||
[[#Only continuous data|Only continuous data]] [[Data_formats#Data_formats_in_statistics| (?)]]<br> | [[#Only continuous data|Only continuous data]] [[Data_formats#Data_formats_in_statistics| (?)]]<br> | ||
| − | + | [[#Only categorical data|Only categorical data]] [[Data_formats#Data_formats_in_statistics| (?)]]<br> | |
<div id="Categorical and continuous data">Categorical and continuous data</div> | <div id="Categorical and continuous data">Categorical and continuous data</div> | ||
| − | [[At least one continuous variable| | + | [[At least one continuous and one categorical variable| |
More than 2 groups | More than 2 groups | ||
[[Experiments#Analysis_of_Variance| Analysis of Variance]]<br> | [[Experiments#Analysis_of_Variance| Analysis of Variance]]<br> | ||
| Line 34: | Line 34: | ||
| − | Only categorical | + | <div id="Only categorical data">Only categorical data</div> |
Chi-Square test | Chi-Square test | ||
Revision as of 21:30, 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 data (?)
Only categorical data (?)
Categorical and continuous data
[[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
Dependent variable is count data
Dependent variable is 0/1 or proportions
Only categorical data
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
GLM
Dependent variable is count data
Poisson GLM
Dependent variable is 0/1 or proportions
Binomial GLM
Multivariate statistics
