Get the feature parameters

feature_parameters(object, ...)

Arguments

object

the object to get from

...

additional arguments used by the concrete implementation

Value

a data.frame with information on each fit

See also

accessor_methods for the implementation for a 'proDAFit' object

Examples

syn_data <- generate_synthetic_data(n_proteins = 10) fit <- proDA(syn_data$Y, design = syn_data$groups) feature_parameters(fit)
#> n_approx df s2 n_obs #> protein_1 3.013358 3.728115 0.14708889 3 #> protein_2 1.755104 2.469860 0.19338465 1 #> protein_3 1.443281 2.158038 0.17542654 0 #> protein_4 6.000000 6.714757 0.05474316 6 #> protein_5 6.000000 6.714757 0.13815977 6 #> protein_6 6.000000 6.714757 0.07054472 6 #> protein_7 2.681423 3.396179 0.11259122 2 #> protein_8 6.000000 6.714757 0.42035772 6 #> protein_9 4.036907 4.751663 0.24288821 4 #> protein_10 4.683525 5.398282 0.10170863 4