Difference between revisions of "An initial path towards statistical analysis"
| Line 5: | Line 5: | ||
=[[#Univariate statistics| Univariate statistics]]<br> = | =[[#Univariate statistics| Univariate statistics]]<br> = | ||
| − | + | Does you data contain at least one categorical variable?<br> | |
| + | Yes, I have at least one categorical variable! (?) | ||
| + | No, I have only continuous variables! (?) | ||
| + | |||
=[[#Multivariate statistics| Multivariate statistics]]<br>= | =[[#Multivariate statistics| Multivariate statistics]]<br>= | ||
Do you have several continuous variables without clear dependencies?<br> | Do you have several continuous variables without clear dependencies?<br> | ||
Revision as of 12:19, 12 January 2021
Start here with your data
Contents
Univariate statistics
Does you data contain at least one categorical variable?
Yes, I have at least one categorical variable! (?)
No, I have only continuous variables! (?)
Multivariate statistics
Do you have several continuous variables without clear dependencies?
Categorical and continuous data
Does your data consist of categorical and continuous data? (?)
t-test
Analysis of Variance
Dependent variable normally distributed
INSERT TYPE II
Linear mixed effect model
Dependent variable not normally distributed
Type III Anova
Dependent variable is count data
Dependent variable is 0/1 or proportions
Random factors
Only continuous variables (?)
Only categorical variables (?)
Chi-Square test
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
