separate_quant_matrices {ISAnalytics} | R Documentation |
The function separates a single multi-quantification integration
matrix, obtained via comparison_matrix, into single
quantification matrices as a named list of tibbles.
separate_quant_matrices( x, fragmentEstimate = "fragmentEstimate", seqCount = "seqCount", barcodeCount = "barcodeCount", cellCount = "cellCount", ShsCount = "ShsCount", key = c(mandatory_IS_vars(), annotation_IS_vars(), "CompleteAmplificationID") )
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 |
A named list of tibbles, where names are quantification types
Other Analysis functions:
CIS_grubbs()
,
comparison_matrix()
,
compute_abundance()
,
cumulative_count_union()
,
cumulative_is()
,
is_sharing()
,
purity_filter()
,
sample_statistics()
,
threshold_filter()
,
top_integrations()
data("integration_matrices", package = "ISAnalytics") separated <- separate_quant_matrices( integration_matrices ) separated