separate_quant_matrices {ISAnalytics} | R Documentation

## Separate a multiple-quantification matrix into single quantification matrices.

### Description

The function separates a single multi-quantification integration matrix, obtained via comparison_matrix, into single quantification matrices as a named list of tibbles.

### Usage

    separate_quant_matrices(
      x,
      fragmentEstimate = "fragmentEstimate",
      seqCount = "seqCount",
      barcodeCount = "barcodeCount",
      cellCount = "cellCount",
      ShsCount = "ShsCount",
      key = c(mandatory_IS_vars(), annotation_IS_vars(), "CompleteAmplificationID")
    )

### Arguments

`x` | Single integration matrix with multiple quantification value columns, likely obtained via comparison_matrix.
`fragmentEstimate` | Name of the fragment estimate values column in input
`seqCount` | Name of the sequence count values column in input
`barcodeCount` | Name of the barcode count values column in input
`cellCount` | Name of the cell count values column in input
`ShsCount` | Name of the shs count values column in input
`key` | Key columns to perform the joining operation

### Value

A named list of tibbles, where names are quantification types

### See Also

quantification_types

Other Analysis functions: `CIS_grubbs()`, `comparison_matrix()`, `compute_abundance()`, `cumulative_count_union()`, `cumulative_is()`, `is_sharing()`, `iss_source()`, `purity_filter()`, `sample_statistics()`, `threshold_filter()`, `top_integrations()`

### Examples

    data("integration_matrices", package = "ISAnalytics")
    separated <- separate_quant_matrices(
        integration_matrices
    )
    separated

[Package ISAnalytics version 1.4.3 Index]