as_sparse_matrix {ISAnalytics} | R Documentation

## Converts tidy integration matrices in the original sparse matrix form.

### Description

This function is particularly useful when a sparce matrix structure is needed by a specific function (mainly from other packages).

### Usage

    as_sparse_matrix(
      x,
      fragmentEstimate = "fragmentEstimate",
      seqCount = "seqCount",
      barcodeCount = "barcodeCount",
      cellCount = "cellCount",
      ShsCount = "ShsCount"
    )

### Arguments

`x` | A single tidy integration matrix or a list of integration matrices. Supports also multi-quantification matrices obtained via comparison_matrix
`fragmentEstimate` | For multi-quantification matrix support: the name of the fragment estimate values column
`seqCount` | For multi-quantification matrix support: the name of the sequence count values column
`barcodeCount` | For multi-quantification matrix support: the name of the barcode count values column
`cellCount` | For multi-quantification matrix support: the name of the cell count values column
`ShsCount` | For multi-quantification matrix support: the name of the Shs Count values column

### Value

Depending on input, 2 possible outputs:

- A single sparce matrix (tibble) if input is a single quantification matrix

- A list of sparce matrices divided by quantification if input is a single multi-quantification matrix or a list of matrices

### See Also

Other Utility functions: `generate_Vispa2_launch_AF()`, `generate_blank_association_file()`, `unzip_file_system()`

### Examples

    path <- system.file("extdata", "ex_annotated_ISMatrix.tsv.xz",
        package = "ISAnalytics"
    )
    matrix <- import_single_Vispa2Matrix(path)
    sparse <- as_sparse_matrix(matrix)

[Package ISAnalytics version 1.0.11 Index]