An initial path towards statistical analysis
Start here with your data! This is your first question.
Do you have several continuous variables without clear dependencies? (?)
Yes!
No!
R commands:
Relevant figures:
Contents
Univariate statistics
Does you data contain at least one categorical variable?
Yes, I have at least one categorical variable! (?) (?)
R commands:
Relevant figures:
Categorical and continuous data
Does your data consist of categorical and continuous variables?
R commands:
Relevant figures:
Does your data consist only of categorical variables?
R commands:
Relevant figures:
Categorical variables
Chi-Square test
R commands:
Relevant figures:
No, I have only continuous variables! (?) (?)
R commands:
Relevant figures:
Multivariate statistics
Yes!
Is your dependent variable normally distributed?
Is your dependent variable not normally distributed?
Does your independent variable contain only 1 or 2 groups?
Does your independent variable contain more than 2 groups?
Analysis of Variance
Is your dependent variable normally distributed?
Is your dependent variable not normally distributed?
Dependent variable normally distributed
Type II Anova
Dependent variable is count data
Dependent variable is 0/1 or proportions
Random factors
Dependent variable not normally distributed
Type III Anova
Dependent variable is count data
Dependent variable is 0/1 or proportions
Random factors
t-test
Chi-Square test
Continuous variables
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
Resterampe
[[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
