Difference between revisions of "An initial path towards statistical analysis"
| Line 4: | Line 4: | ||
Do you have several continuous variables without clear dependencies?<br> | Do you have several continuous variables without clear dependencies?<br> | ||
| − | + | = Yes-> [[#Multivariate statistics| Multivariate statistics]]<br>= | |
| − | + | ||
| + | =No-> [[#Univariate statistics| Univariate statistics]]<br> = | ||
<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>=== | ||
More than 2 groups | More than 2 groups | ||
| − | + | ===[[Experiments#Analysis_of_Variance| Analysis of Variance]]<br>=== | |
====[[Data_distribution#The_normal_distribution|Dependent variable normally distributed]]<br>==== | ====[[Data_distribution#The_normal_distribution|Dependent variable normally distributed]]<br>==== | ||
====[[Type II Anova|INSERT TYPE II]]<br>==== | ====[[Type II Anova|INSERT TYPE II]]<br>==== | ||
Revision as of 22:05, 11 January 2021
Start here with your data
Do you have several continuous variables without clear dependencies?
Yes-> Multivariate statistics
No-> Univariate statistics
Categorical and continuous data (?)
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 continuous variables (?)
Only categorical 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
Dependent variable is count data
Dependent variable is 0/1 or proportions
Non dependent relations? Correlations
Clear dependent relations
Regression models
Dependent variable normally distributed
Linear Regression
Dependent variable not normally distributed
Dependent variable is count data
Dependent variable is 0/1 or proportions
