perform_oneway_anova | R Documentation |
Performs ANOVA with Welch's correction as default, to deal with heterogeneity of variances.
Can also perform classic ANOVA with assumption of equal variances.
Uses base R function oneway.test
.
perform_oneway_anova(object, formula_char, all_features = FALSE, ...)
object |
a MetaboSet object |
formula_char |
character, the formula to be used in the linear model (see Details) Defaults to "Feature ~ group_col(object) |
all_features |
should all features be included in FDR correction? |
... |
other parameters to |
The model is fit on combined_data(object). Thus, column names in pData(object) can be specified. To make the formulas flexible, the word "Feature" must be used to signal the role of the features in the formula. "Feature" will be replaced by the actual Feature IDs during model fitting. For example, if testing for equality of means in study groups, use "Feature ~ Group".
data frame with the results
oneway.test
perform_oneway_anova(example_set, formula_char = "Feature ~ Group")
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