deepblue_binning {DeepBlueR} | R Documentation

## binning

### Description

Bin results according to counts.

### Usage

    deepblue_binning(query_data_id = NULL, column = NULL, bins = NULL,
      user_key = deepblue_options("user_key"))

### Arguments

`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)

### Value

request_id - A string (Request ID - Use it to retrieve the result with info() and get_request_data())

### See Also

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`

### Examples

    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)

[Package DeepBlueR version 1.6.0 Index]