kw_rank_sum {structToolbox} | R Documentation |
Calculate kw-test for all features in a DatasetExperiment. A non-parametric 1-way ANOVA.
kw_rank_sum(alpha = 0.05, mtc = "fdr", factor_names, ...)
alpha |
The p-value threshold. Default alpha = 0.05. |
mtc |
Multiple test correction method passed to |
factor_names |
The sample_meta column name to use |
... |
additional slots and values passed to struct_class |
struct object
D = iris_DatasetExperiment() M = kw_rank_sum(factor_names='Species') M = model_apply(M,D)