biclustermd-package | biclustermd: A package to bicluster data with missing values |
as.Biclust | Convert a 'biclustermd' object to a 'Biclust' object |
autoplot.biclustermd | Make a heatmap of sparse biclustering results |
autoplot.biclustermd_sim | Plot similarity measures between two consecutive biclusterings. |
autoplot.biclustermd_sse | Plot sums of squared errors (SSEs) consecutive biclustering iterations. |
biclustermd | Bicluster data with non-random missing values |
binary_vector_gen | Make a binary vector with all values equal to zero except for one |
cell_heatmap | Make a heat map of bicluster cell sizes. |
cell_mse | Make a data frame containing the MSE for each bicluster cell |
cluster_iteration_sum_sse | Calculate the sum cluster SSE in each iteration |
col.names | A generic to gather column names |
col.names.biclustermd | Get data matrix column names and their corresponding column cluster membership |
col_cluster_names | Get column names in each column cluster |
compare_biclusters | Compare two biclusterings or a pair of partition matrices |
fill_empties_P | Randomly select a column prototype to fill an empty column prototype with |
fill_empties_Q | Randomly select a row prototype to fill an empty row prototype with |
format_partition | Format a partition matrix |
gather.biclustermd | Gather a biclustermd object |
jaccard_similarity | Compute the Jaccard similarity coefficient for two clusterings |
mse_heatmap | Make a heatmap of cell MSEs |
partition_gen | Generate an intial, random partition matrix with N objects into K subsets/groups. |
partition_gen_by_p | Create a partition matrix with a partition vector p |
part_matrix_to_vector | Convert a partition matrix to a vector |
position_finder | Find the index of the first nonzero value in a vector |
print.biclustermd | Print an object of class biclustermd |
reorder_biclust | Reorder a bicluster object for making a heat map |
rep_biclustermd | Repeat a biclustering to achieve a minimum SSE solution |
results_heatmap | Make a heatmap of sparse biclustering results |
row.names.biclustermd | Get data matrix row names and their corresponding row cluster membership |
row_cluster_names | Get row names in each row cluster |
runtimes | Algorithm run time data |
synthetic | Synthetic data for examples. |
tune_biclustermd | Bicluster data over a grid of tuning parameters |