Get the feature parameters

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