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 |