For your qualitative analysis, you will obtain maximum 4 outputs:
- Chi2.csv: informs which variable is implicated in the factor's modalitities
- fisher_exact.csv: informs which variable (with low frequencies) is implacated in the factor's modalities
- qualitative_hypergeometric.csv: informs if the variable is implicated in the factor's modalities, this file informs in each factor's modality if the variable modality is:
- Chi2.csv: informs which variable is implicated in the factor's levels
- fisher_exact.csv: informs which variable (with low expected frequency) is implacated in the factor's levels
- qualitative_results.csv: informs if the variable is implicated in the factor's levels, this file informs in each factor's level if the variable modality is:
- over-represented
- under-represented
- not significant
- not present
- weight.csv: informs the qualitative variables contribution to the factor's modalities
- weight.csv: informs the qualitative variables contribution to the factor's levels
For your quantitative analysis, you will obtain maximum 5 outputs:
- normality.csv: informs if the quantitative variables have a normal distribution in the different factor's modalitities
- homoscedasticity.csv: informs if the quantitative variables' standard deviation are the same in the different factor's modalitities
- anova.csv : informs if a variable have a significant higer or lower average than the average of all the groups.
- kruskal_wallis.csv: informs if a variable have a significant higer or lower average than the average of all the groups for variables that are not normal distributed.
- quantitative_gaussian.csv informs for significative variable (to ANOVA or kruskal wallis) if the average of the variable is:
- normality.csv: informs if the quantitative variables have a normal distribution in the different factor's levels
- homoscedasticity.csv: informs if the quantitative variables' variance are the same in the different factor's levels
- anova.csv : informs if a variable have a significant higher or lower average than the average of all the groups.
- kruskal_wallis.csv: informs if a variable have a significant higher or lower average than the average of all the groups for variables that are not normal distributed.
- quantitative_results.csv informs for significative variable (to ANOVA or kruskal wallis) if the average of the variable is:
- above from the average for all individuals
- below from the average for all individuals
- Not significantly different from the average for all individuals
