as_sparse_matrix {ISAnalytics} | R Documentation |
This function is particularly useful when a sparce matrix structure
is needed by a specific function (mainly from other packages).
as_sparse_matrix( x, fragmentEstimate = "fragmentEstimate", seqCount = "seqCount", barcodeCount = "barcodeCount", cellCount = "cellCount", ShsCount = "ShsCount" )
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 |
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
Other Utility functions:
generate_Vispa2_launch_AF()
,
generate_blank_association_file()
,
unzip_file_system()
data("integration_matrices", package = "ISAnalytics") sparse <- as_sparse_matrix(integration_matrices)