deepblue_binning {DeepBlueR} | R Documentation |
Bin results according to counts.
deepblue_binning(query_data_id = NULL, column = NULL, bins = NULL, user_key = deepblue_options("user_key"))
query_data_id |
- A string (query data that will made by the binning.) |
column |
- A string (name of the column that will be used in the aggregation) |
bins |
- A int (number of of bins) |
user_key |
- A string (users token key) |
request_id - A string (Request ID - Use it to retrieve the result with info() and get_request_data())
Other Operating on the data regions: deepblue_aggregate
,
deepblue_count_regions
,
deepblue_coverage
,
deepblue_distinct_column_values
,
deepblue_extend
,
deepblue_filter_regions
,
deepblue_flank
,
deepblue_get_experiments_by_query
,
deepblue_get_regions
,
deepblue_input_regions
,
deepblue_intersection
,
deepblue_merge_queries
,
deepblue_overlap
,
deepblue_query_cache
,
deepblue_query_experiment_type
,
deepblue_score_matrix
,
deepblue_select_annotations
,
deepblue_select_experiments
,
deepblue_select_regions
,
deepblue_tiling_regions
experiment_id = deepblue_select_experiments( experiment_name="S00XDKH1.ERX712765.H3K27ac.bwa.GRCh38.20150527.bed") deepblue_binning (query_data_id=experiment_id, column="SIGNAL_VALUE", bins=40)