cyt_anova: ANOVA Analysis on Continuous Variables.
Description
This function performs an analysis of variance (ANOVA) for each continuous
variable against every categorical predictor in the input data. Character
columns are automatically converted to factors; all factor columns are used
as predictors while numeric columns are used as continuous outcomes.
For each valid predictor (i.e., with more than one level and no more than 10 levels),
Tukey's Honest Significant Difference (HSD) test is conducted and the adjusted
p-values for pairwise comparisons are extracted.
Usage
cyt_anova(data, format_output = FALSE)
Value
If format_output is FALSE (default), a list of adjusted p-values from Tukey's HSD tests
for each combination of continuous outcome and categorical predictor. List elements are named
in the format "Outcome_Categorical".
If format_output is TRUE, a data frame in a tidy format.
Arguments
data
A data frame or matrix containing both categorical and continuous variables.
Character columns will be converted to factors and used as predictors, while numeric columns
will be used as continuous outcomes.
format_output
Logical. If TRUE, returns the results as a tidy data frame instead of a list.
Default is FALSE.