Get the abundance matrix
abundances(object, ...)
| object | the object to get from |
|---|---|
| ... | additional arguments used by the concrete implementation |
the original matrix that was fitted
accessor_methods for the implementation for a 'proDAFit' object
syn_data <- generate_synthetic_data(n_proteins = 10) fit <- proDA(syn_data$Y, design = syn_data$groups) abundances(fit)#> Condition_1-1 Condition_1-2 Condition_1-3 Condition_2-1 #> protein_1 NA NA 17.39441 NA #> protein_2 21.44783 22.04568 21.58932 21.27364 #> protein_3 21.99514 23.82042 21.65555 24.77057 #> protein_4 19.69809 20.02652 20.83321 19.85557 #> protein_5 NA 18.14249 NA 18.18695 #> protein_6 20.20171 19.54966 20.01480 NA #> protein_7 18.35542 18.45723 NA 18.15738 #> protein_8 16.73948 NA NA NA #> protein_9 21.83534 21.72478 22.65959 22.81777 #> protein_10 20.77706 20.84517 20.77847 23.65964 #> Condition_2-2 Condition_2-3 #> protein_1 NA 17.32600 #> protein_2 21.58395 21.70533 #> protein_3 24.34303 21.34003 #> protein_4 19.76298 19.74544 #> protein_5 NA 18.18038 #> protein_6 NA 19.88450 #> protein_7 18.59377 18.40095 #> protein_8 NA NA #> protein_9 22.40100 22.61339 #> protein_10 23.74005 23.59049