Difference between revisions of "An initial path towards statistical analysis"
From Sustainability Methods
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<div id="Univariate statistics">Univariate statistics</div> | <div id="Univariate statistics">Univariate statistics</div> | ||
[[#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|Continuous 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 | + | [[At least one continuous 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> | ||
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[[Linear mixed effect model|INSERT LMM]]<br> | [[Linear mixed effect model|INSERT LMM]]<br> | ||
− | + | [[Data_distribution#Non-normal_distributions|Dependent variable not normally distributed]] | |
− | + | [[Type III Anova|Type III Anova]] | |
− | + | [[Poisson GLM|Dependent variable is count data]] | |
− | + | [[Binomial GLM|Dependent variable is 0/1 or proportions]] | |
− | + | [[Generalised linear mixed effect models|Random factorRandom factors]] | |
− | |||
− | |||
Only categorical variables | Only categorical variables | ||
Chi-Square test | Chi-Square test | ||
− | Only continuous variables | + | <div id="Only continuous variables">Only continuous variables</div> |
+ | |||
Non dependent relations | Non dependent relations |
Revision as of 21:16, 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 (?)
Continuous data (?)
Categorical and continuous data
[[At least one continuous 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 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
GLM
Dependent variable is count data
Poisson GLM
Dependent variable is 0/1 or proportions
Binomial GLM
Multivariate statistics