get_classes-ConsensusPartitionList-method.RdGet subgroup labels
# S4 method for ConsensusPartitionList
get_classes(object, k)A ConsensusPartitionList-class object.
Number of subgroups.
The subgroup labels are inferred by merging partitions from all methods by weighting the mean silhouette scores in each method.
A data frame with subgroup labels and other columns which are entropy of the percent membership matrix and the silhouette scores which measure the stability of a sample to stay in its group.
data(golub_cola)
get_classes(golub_cola, k = 2)
#> class entropy silhouette
#> sample_39 1 0.83997042 0.7818134
#> sample_40 1 0.85493594 0.7818134
#> sample_42 1 0.38461700 0.8765723
#> sample_47 1 0.07530554 0.8702167
#> sample_48 1 0.00000000 0.8702167
#> sample_49 1 0.86529683 0.7818134
#> sample_41 1 0.00000000 0.8702167
#> sample_43 1 0.33400971 0.8765723
#> sample_44 1 0.00000000 0.8702167
#> sample_45 1 0.04943860 0.8702167
#> sample_46 1 0.14205866 0.8702167
#> sample_70 1 0.33918131 0.8765723
#> sample_71 1 0.44594517 0.8765723
#> sample_72 1 0.39220231 0.8765723
#> sample_68 1 0.00000000 0.8702167
#> sample_69 1 0.03477109 0.8702167
#> sample_67 2 0.87795666 0.5231260
#> sample_55 1 0.90478539 0.7266124
#> sample_56 1 0.83769035 0.7818134
#> sample_59 1 0.43714985 0.8765723
#> sample_52 2 0.08491589 0.9352635
#> sample_53 2 0.02840360 0.9352635
#> sample_51 2 0.02296957 0.9352635
#> sample_50 2 0.02296957 0.9352635
#> sample_54 2 0.75192484 0.7459714
#> sample_57 2 0.09072873 0.9352635
#> sample_58 2 0.05973264 0.9352635
#> sample_60 2 0.69448102 0.7459714
#> sample_61 2 0.07294518 0.9352635
#> sample_65 2 0.06861367 0.9352635
#> sample_66 1 0.97337105 0.3507463
#> sample_63 2 0.08491589 0.9352635
#> sample_64 2 0.31548609 0.9352635
#> sample_62 2 0.08491589 0.9352635
#> sample_1 1 0.75874454 0.8171256
#> sample_2 2 0.94857640 0.5231260
#> sample_3 1 0.87964906 0.7219835
#> sample_4 1 0.74417636 0.8171256
#> sample_5 1 0.00000000 0.8702167
#> sample_6 1 0.89516448 0.7219835
#> sample_7 1 0.87277257 0.7266124
#> sample_8 1 0.83819027 0.7818134
#> sample_9 1 0.36386849 0.8765723
#> sample_10 1 0.75911495 0.8025851
#> sample_11 1 0.37125434 0.8765723
#> sample_12 2 0.50961344 0.7600291
#> sample_13 1 0.00000000 0.8702167
#> sample_14 1 0.32027306 0.8702167
#> sample_15 1 0.00000000 0.8702167
#> sample_16 1 0.30705513 0.8765723
#> sample_17 1 0.79470698 0.7466384
#> sample_18 1 0.57239199 0.8638746
#> sample_19 1 0.30705513 0.8765723
#> sample_20 1 0.00000000 0.8702167
#> sample_21 1 0.00000000 0.8702167
#> sample_22 1 0.84467027 0.7818134
#> sample_23 1 0.83786840 0.7818134
#> sample_24 1 0.01857244 0.8702167
#> sample_25 1 0.80732557 0.8171256
#> sample_26 1 0.42671215 0.8765723
#> sample_27 1 0.87926203 0.7266124
#> sample_34 2 0.12155294 0.9352635
#> sample_35 2 0.24471685 0.9352635
#> sample_36 2 0.03657044 0.9352635
#> sample_37 2 0.02296957 0.9352635
#> sample_38 2 0.13065661 0.9352635
#> sample_28 2 0.13592062 0.9352635
#> sample_29 2 0.75163297 0.7459714
#> sample_30 2 0.05185848 0.9352635
#> sample_31 2 0.12484085 0.9352635
#> sample_32 2 0.12435718 0.9352635
#> sample_33 2 0.02296957 0.9352635