Description Usage Arguments Value Examples
Customized informative tables for examining data-adaptive statistics.
1 | get_composition(object, type = "small")
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object |
(data_adapt) - object of class |
type |
(character) - 'small' or 'big'. 'small' mode returns composition of data-adaptive parameters after multiple testing stage. 'big' mode returns composition of data-adaptive parameters before multiple testing stage. |
(numeric matrix) containing what fraction of the data-adaptive parameter comes from which biomarker in the original dataset.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | set.seed(1234)
data(simpleArray)
simulated_array <- simulated_array
simulated_treatment <- simulated_treatment
adaptest_out <- adaptest(Y = simulated_array,
A = simulated_treatment,
W = NULL,
n_top = 5,
n_fold = 3,
learning_library = 'SL.glm',
parameter_wrapper = adaptest::rank_DE,
absolute = FALSE,
negative = FALSE)
get_composition(adaptest_out, type = 'small')
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