View source: R/prepare_clustergram_data.R
Process hit data for hierarchical clustering.
1 2 3 | prepare_clustergram_data(case_rcp, hit_list, binarize_clustergram = TRUE,
rcp_thresh = 0.95, sample_field_delimiter = ".",
sample_key_field = 4, AVARDA_RCP = NA)
|
case_rcp |
RCP data from RCPGenerator or compute_rcp_list. |
hit_list |
Subset candidate data from filter_hits or filter_hits_list. |
binarize_clustergram |
Logical controlling whether or not clustergram will be binarized above/below rcp_thresh. |
rcp_thresh |
Threshold value to binarize against if binarize_clustergram == TRUE. |
sample_field_delimiter |
Field delimiter in sample names (column names of case_rcp.) |
sample_key_field |
Which field(s) to retrain from sample names when separated by sample_field delimiter. |
AVARDA_RCP |
Optional AVARDA breadth case RCP data to add to clustergram. |
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