View source: R/import-functions.R
import_parallel_Vispa2Matrices | R Documentation |
The function offers a convenient way of importing multiple integration
matrices in an automated or semi-automated way.
For more details see the "How to use import functions" vignette:
vignette("workflow_start", package = "ISAnalytics")
import_parallel_Vispa2Matrices(
association_file,
quantification_type = c("seqCount", "fragmentEstimate"),
matrix_type = c("annotated", "not_annotated"),
workers = 2,
multi_quant_matrix = TRUE,
report_path = default_report_path(),
patterns = NULL,
matching_opt = matching_options(),
mode = "AUTO",
...
)
association_file |
Data frame imported via import_association_file (with file system alignment) |
quantification_type |
A vector of requested quantification_types. Possible choices are quantification_types |
matrix_type |
A single string representing the type of matrices to be imported. Can only be one in "annotated" or "not_annotated". |
workers |
A single integer representing the number of parallel workers to use for the import |
multi_quant_matrix |
If set to |
report_path |
The path where the report file should be saved.
Can be a folder or |
patterns |
A character vector of additional patterns to match on file
names. Please note that patterns must be regular expressions. Can be |
matching_opt |
A single value between matching_options |
mode |
Only |
... |
< |
Either a multi-quantification matrix or a list of integration matrices
The function will explicitly check for the presence of these tags:
project_id
vispa_concatenate
Other Import functions:
import_Vispa2_stats()
,
import_association_file()
,
import_single_Vispa2Matrix()
fs_path <- generate_default_folder_structure(type = "correct")
af <- import_association_file(fs_path$af,
root = fs_path$root,
report_path = NULL
)
matrices <- import_parallel_Vispa2Matrices(af,
c("seqCount", "fragmentEstimate"),
mode = "AUTO", report_path = NULL
)
head(matrices)
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